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Gurok MG, Aksoy DB, Mermi O, Korkmaz S, Tabara MF, Yildirim H, Atmaca M. Hippocampus and amygdala volumes are reduced in patients with schizoaffective disorder. Psychiatry Res Neuroimaging 2024; 342:111840. [PMID: 38875767 DOI: 10.1016/j.pscychresns.2024.111840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 05/16/2024] [Accepted: 06/04/2024] [Indexed: 06/16/2024]
Abstract
We aimed to examine the hippocampus and amygdala volumes in patients with schizoaffective disorder with the notion that schizoaffective disorder has strong resemblance of clinical presentation with schizophrenia and bipolar disorder and that there have been studies on regions of interest volumes in patients with schizophrenia and bipolar disorder but not in patients with schizoaffective disorder. Eighteen patients with schizoaffective disorder and nineteen healthy controls were included into the study. Hippocampus and amygdala volumes were examined by using the MRI. Both hippocampus and amygdala volumes were statistically significantly reduced in patients with schizoaffective disorder compared to those of the healthy control comparisons (p<0.001 for the hippocampus and p<0.001 for the amygdala). In summary, our findings of the present study suggest that patients with schizoaffective disorder seem to have smaller volumes of the hippocampus and amygdala regions and that our results were in accordance with those obtained both in patients with schizophrenia and bipolar disorder, considering that schizoaffective disorder might have neuroanatomic similarities with both schizophrenia and bipolar disorder. Beacuse of some limitations aforementioned especially age, it is required to replicate our present results in this patient group.
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Affiliation(s)
- M Gurkan Gurok
- Firat University School of Medicine Department of Psychiatry, Elazig, Turkey.
| | - Dilek Bakis Aksoy
- Firat University School of Medicine Department of Psychiatry, Elazig, Turkey
| | - Osman Mermi
- Firat University School of Medicine Department of Psychiatry, Elazig, Turkey.
| | - Sevda Korkmaz
- Firat University School of Medicine Department of Psychiatry, Elazig, Turkey.
| | | | - Hanefi Yildirim
- Firat University School of Medicine Department of Radiology, Elazig, Turkey.
| | - Murad Atmaca
- Firat University School of Medicine Department of Psychiatry, Elazig, Turkey.
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2
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McWhinney SR, Hlinka J, Bakstein E, Dietze LMF, Corkum ELV, Abé C, Alda M, Alexander N, Benedetti F, Berk M, Bøen E, Bonnekoh LM, Boye B, Brosch K, Canales‐Rodríguez EJ, Cannon DM, Dannlowski U, Demro C, Diaz‐Zuluaga A, Elvsåshagen T, Eyler LT, Fortea L, Fullerton JM, Goltermann J, Gotlib IH, Grotegerd D, Haarman B, Hahn T, Howells FM, Jamalabadi H, Jansen A, Kircher T, Klahn AL, Kuplicki R, Lahud E, Landén M, Leehr EJ, Lopez‐Jaramillo C, Mackey S, Malt U, Martyn F, Mazza E, McDonald C, McPhilemy G, Meier S, Meinert S, Melloni E, Mitchell PB, Nabulsi L, Nenadić I, Nitsch R, Opel N, Ophoff RA, Ortuño M, Overs BJ, Pineda‐Zapata J, Pomarol‐Clotet E, Radua J, Repple J, Roberts G, Rodriguez‐Cano E, Sacchet MD, Salvador R, Savitz J, Scheffler F, Schofield PR, Schürmeyer N, Shen C, Sim K, Sponheim SR, Stein DJ, Stein F, Straube B, Suo C, Temmingh H, Teutenberg L, Thomas‐Odenthal F, Thomopoulos SI, Urosevic S, Usemann P, van Haren NEM, Vargas C, Vieta E, Vilajosana E, Vreeker A, Winter NR, Yatham LN, Thompson PM, Andreassen OA, Ching CRK, Hajek T. Principal component analysis as an efficient method for capturing multivariate brain signatures of complex disorders-ENIGMA study in people with bipolar disorders and obesity. Hum Brain Mapp 2024; 45:e26682. [PMID: 38825977 PMCID: PMC11144951 DOI: 10.1002/hbm.26682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 03/21/2024] [Accepted: 03/28/2024] [Indexed: 06/04/2024] Open
Abstract
Multivariate techniques better fit the anatomy of complex neuropsychiatric disorders which are characterized not by alterations in a single region, but rather by variations across distributed brain networks. Here, we used principal component analysis (PCA) to identify patterns of covariance across brain regions and relate them to clinical and demographic variables in a large generalizable dataset of individuals with bipolar disorders and controls. We then compared performance of PCA and clustering on identical sample to identify which methodology was better in capturing links between brain and clinical measures. Using data from the ENIGMA-BD working group, we investigated T1-weighted structural MRI data from 2436 participants with BD and healthy controls, and applied PCA to cortical thickness and surface area measures. We then studied the association of principal components with clinical and demographic variables using mixed regression models. We compared the PCA model with our prior clustering analyses of the same data and also tested it in a replication sample of 327 participants with BD or schizophrenia and healthy controls. The first principal component, which indexed a greater cortical thickness across all 68 cortical regions, was negatively associated with BD, BMI, antipsychotic medications, and age and was positively associated with Li treatment. PCA demonstrated superior goodness of fit to clustering when predicting diagnosis and BMI. Moreover, applying the PCA model to the replication sample yielded significant differences in cortical thickness between healthy controls and individuals with BD or schizophrenia. Cortical thickness in the same widespread regional network as determined by PCA was negatively associated with different clinical and demographic variables, including diagnosis, age, BMI, and treatment with antipsychotic medications or lithium. PCA outperformed clustering and provided an easy-to-use and interpret method to study multivariate associations between brain structure and system-level variables. PRACTITIONER POINTS: In this study of 2770 Individuals, we confirmed that cortical thickness in widespread regional networks as determined by principal component analysis (PCA) was negatively associated with relevant clinical and demographic variables, including diagnosis, age, BMI, and treatment with antipsychotic medications or lithium. Significant associations of many different system-level variables with the same brain network suggest a lack of one-to-one mapping of individual clinical and demographic factors to specific patterns of brain changes. PCA outperformed clustering analysis in the same data set when predicting group or BMI, providing a superior method for studying multivariate associations between brain structure and system-level variables.
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Affiliation(s)
- Sean R. McWhinney
- Department of PsychiatryDalhousie UniversityHalifaxNova ScotiaCanada
| | - Jaroslav Hlinka
- Department of Complex SystemsInstitute of Computer Science, Czech Academy of SciencesPragueCzech Republic
- National Institute of Mental HealthKlecanyCzech Republic
| | - Eduard Bakstein
- National Institute of Mental HealthKlecanyCzech Republic
- Department of CyberneticsCzech Technical UniversityPragueCzech Republic
| | - Lorielle M. F. Dietze
- Department of PsychiatryDalhousie UniversityHalifaxNova ScotiaCanada
- Department of Medical NeuroscienceDalhousie UniversityHalifaxNova ScotiaCanada
| | | | - Christoph Abé
- Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden
| | - Martin Alda
- Department of PsychiatryDalhousie UniversityHalifaxNova ScotiaCanada
- National Institute of Mental HealthKlecanyCzech Republic
| | - Nina Alexander
- Department of Psychiatry and PsychotherapyPhilipps‐University MarburgMarburgGermany
| | - Francesco Benedetti
- Vita‐Salute San Raffaele UniversityMilanItaly
- Division of Neuroscience, Psychiatry and Psychobiology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
| | - Michael Berk
- Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon HealthDeakin UniversityGeelongVictoriaAustralia
| | - Erlend Bøen
- Unit for Psychosomatics/CL Outpatient Clinic for Adults, Division of Mental Health and AddictionOslo University HospitalOsloNorway
| | - Linda M. Bonnekoh
- Institute for Translational PsychiatryUniversity of MünsterMünsterGermany
- Department of Child Adolescent Psychiatry and PsychotherapyUniversity of MünsterMünsterGermany
| | - Birgitte Boye
- Unit for Psychosomatics and C‐L Psychiatry for AdultsOslo University HospitalOsloNorway
- Department of Behavioural MedicineInstitute of Basic Medical Sciences, University of OsloOsloNorway
| | - Katharina Brosch
- Department of Psychiatry and PsychotherapyPhilipps‐University MarburgMarburgGermany
- Institute of Behavioral ScienceFeinstein Institutes for Medical ResearchManhassetNew YorkUSA
| | - Erick J. Canales‐Rodríguez
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- CIBERSAM, Instituto de Salud Carlos IIIBarcelonaSpain
| | - Dara M. Cannon
- Clinical Neuroimaging Laboratory, Galway Neuroscience CentreCollege of Medicine Nursing and Health Sciences, University of GalwayGalwayIreland
| | - Udo Dannlowski
- Institute for Translational PsychiatryUniversity of MünsterMünsterGermany
| | - Caroline Demro
- Department of Psychiatry & Behavioral SciencesUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Ana Diaz‐Zuluaga
- Research Group in Psychiatry GIPSI, Department of Psychiatry, Faculty of MedicineUniversidad de AntioquiaMedellinColombia
| | - Torbjørn Elvsåshagen
- Department of Behavioural MedicineInstitute of Basic Medical Sciences, University of OsloOsloNorway
- Institute of Clinical Medicine, Norwegian Centre for Mental Disorders Research (NORMENT)University of Oslo and Division of Mental Health and Addiction, Oslo University HospitalOsloNorway
- Department of Neurology, Division of Clinical NeuroscienceOslo University HospitalOsloNorway
| | - Lisa T. Eyler
- Department of PsychiatryUniversity of California San DiegoLa JollaCaliforniaUSA
- Desert‐Pacific MIRECC, VA San Diego HealthcareSan DiegoCaliforniaUSA
| | - Lydia Fortea
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM, Instituto de Salud Carlos IIIUniversity of BarcelonaBarcelonaSpain
| | - Janice M. Fullerton
- Neuroscience Research AustraliaRandwickNew South WalesAustralia
- School of Biomedical Sciences, Faculty of Medicine & HealthUniversity of New South WalesSydneyNew South WalesAustralia
| | - Janik Goltermann
- Institute for Translational PsychiatryUniversity of MünsterMünsterGermany
| | - Ian H. Gotlib
- Department of PsychologyStanford UniversityStanfordCaliforniaUSA
| | - Dominik Grotegerd
- Institute for Translational PsychiatryUniversity of MünsterMünsterGermany
| | - Bartholomeus Haarman
- Department of PsychiatryUniversity Medical Center Groningen, University of GroningenGroningenThe Netherlands
| | - Tim Hahn
- Institute for Translational PsychiatryUniversity of MünsterMünsterGermany
| | - Fleur M. Howells
- Neuroscience InstituteUniversity of Cape TownCape TownSouth Africa
- Department of Psychiatry and Mental HealthUniversity of Cape TownCape TownSouth Africa
| | - Hamidreza Jamalabadi
- Department of Psychiatry and PsychotherapyPhilipps‐University MarburgMarburgGermany
| | - Andreas Jansen
- Department of Psychiatry and PsychotherapyPhilipps‐University MarburgMarburgGermany
- Core‐Facility Brainimaging, Faculty of MedicineUniversity of MarburgGermany
| | - Tilo Kircher
- Department of Psychiatry and PsychotherapyPhilipps‐University MarburgMarburgGermany
| | - Anna Luisa Klahn
- Institute of Neuroscience and PhysiologySahlgrenska Academy at Gothenburg UniversityGothenburgSweden
| | | | - Elijah Lahud
- Department of Psychiatry & Behavioral SciencesUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Mikael Landén
- Institute of Neuroscience and PhysiologySahlgrenska Academy at Gothenburg UniversityGothenburgSweden
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
| | - Elisabeth J. Leehr
- Institute for Translational PsychiatryUniversity of MünsterMünsterGermany
| | - Carlos Lopez‐Jaramillo
- Research Group in Psychiatry GIPSI, Department of Psychiatry, Faculty of MedicineUniversidad de AntioquiaMedellinColombia
| | - Scott Mackey
- Department of PsychiatryUniversity of Vermont College of MedicineBurlingtonVermontUSA
| | - Ulrik Malt
- Unit for Psychosomatics/CL Outpatient Clinic for Adults, Division of Mental Health and AddictionOslo University HospitalOsloNorway
- Institute of Clinical Medicine, Department of NeurologyUniversity of OsloOsloNorway
| | - Fiona Martyn
- Clinical Neuroimaging Laboratory, Galway Neuroscience CentreCollege of Medicine Nursing and Health Sciences, University of GalwayGalwayIreland
| | - Elena Mazza
- Vita‐Salute San Raffaele UniversityMilanItaly
- Division of Neuroscience, Psychiatry and Psychobiology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
| | - Colm McDonald
- Clinical Neuroimaging Laboratory, Galway Neuroscience CentreCollege of Medicine Nursing and Health Sciences, University of GalwayGalwayIreland
| | - Genevieve McPhilemy
- Clinical Neuroimaging Laboratory, Galway Neuroscience CentreCollege of Medicine Nursing and Health Sciences, University of GalwayGalwayIreland
| | - Sandra Meier
- Department of PsychiatryDalhousie UniversityHalifaxNova ScotiaCanada
| | - Susanne Meinert
- Institute for Translational PsychiatryUniversity of MünsterMünsterGermany
- Institute for Translational NeuroscienceUniversity of MünsterMünsterGermany
| | - Elisa Melloni
- Vita‐Salute San Raffaele UniversityMilanItaly
- Division of Neuroscience, Psychiatry and Psychobiology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
| | - Philip B. Mitchell
- Discipline of Psychiatry and Mental Health, School of Clinical Medicine, Faculty of Medicine & HealthUniversity of New South WalesSydneyNew South WalesAustralia
| | - Leila Nabulsi
- Clinical Neuroimaging Laboratory, Galway Neuroscience CentreCollege of Medicine Nursing and Health Sciences, University of GalwayGalwayIreland
| | - Igor Nenadić
- Department of Psychiatry and PsychotherapyPhilipps‐University MarburgMarburgGermany
| | - Robert Nitsch
- Institute for Translational NeuroscienceUniversity of MünsterMünsterGermany
| | - Nils Opel
- Institute for Translational PsychiatryUniversity of MünsterMünsterGermany
- Department of Psychiatry and PsychotherapyJena University HospitalJenaGermany
- German Center for Mental Health (DZPG), Site Jena‐Magdeburg‐HalleGermany
| | - Roel A. Ophoff
- UCLA Center for Neurobehavioral GeneticsLos AngelesCaliforniaUSA
| | - Maria Ortuño
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)BarcelonaSpain
| | | | - Julian Pineda‐Zapata
- Research GroupInstituto de Alta Tecnología Médica, Ayudas diagnósticas SURAMedellinColombia
| | - Edith Pomarol‐Clotet
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- CIBERSAM, Instituto de Salud Carlos IIIBarcelonaSpain
| | - Joaquim Radua
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM, Instituto de Salud Carlos IIIUniversity of BarcelonaBarcelonaSpain
| | - Jonathan Repple
- Institute for Translational PsychiatryUniversity of MünsterMünsterGermany
- Department of Psychiatry, Psychosomatic Medicine and PsychotherapyGoethe University Frankfurt, University HospitalFrankfurtGermany
| | - Gloria Roberts
- Discipline of Psychiatry and Mental Health, School of Clinical Medicine, Faculty of Medicine & HealthUniversity of New South WalesSydneyNew South WalesAustralia
| | - Elena Rodriguez‐Cano
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- CIBERSAM, Instituto de Salud Carlos IIIBarcelonaSpain
| | - Matthew D. Sacchet
- Meditation Research Program, Department of PsychiatryMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- CIBERSAM, Instituto de Salud Carlos IIIBarcelonaSpain
| | - Jonathan Savitz
- Laureate Institute for Brain ResearchTulsaOklahomaUSA
- Oxley College of Health SciencesThe University of TulsaTulsaOklahomaUSA
| | - Freda Scheffler
- Neuroscience InstituteUniversity of Cape TownCape TownSouth Africa
- Department of Psychiatry and Mental HealthUniversity of Cape TownCape TownSouth Africa
| | - Peter R. Schofield
- Neuroscience Research AustraliaRandwickNew South WalesAustralia
- School of Biomedical Sciences, Faculty of Medicine & HealthUniversity of New South WalesSydneyNew South WalesAustralia
| | - Navid Schürmeyer
- Institute for Translational PsychiatryUniversity of MünsterMünsterGermany
| | - Chen Shen
- Department of PsychologyUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Kang Sim
- West Region, Institute of Mental HealthSingaporeSingapore
- Yong Loo Lin School of MedicineNational University of SingaporeSingaporeSingapore
| | - Scott R. Sponheim
- Department of Psychiatry & Behavioral SciencesUniversity of MinnesotaMinneapolisMinnesotaUSA
- Minneapolis VA Health Care SystemMinneapolisMinnesotaUSA
| | - Dan J. Stein
- Neuroscience InstituteUniversity of Cape TownCape TownSouth Africa
- Department of Psychiatry and Mental HealthUniversity of Cape TownCape TownSouth Africa
- South African MRC Unit on Risk & Resilience in Mental DisordersUniversity of Cape TownCape TownSouth Africa
| | - Frederike Stein
- Department of Psychiatry and PsychotherapyPhilipps‐University MarburgMarburgGermany
| | - Benjamin Straube
- Department of Psychiatry and PsychotherapyPhilipps‐University MarburgMarburgGermany
| | - Chao Suo
- Turner Institute for Brain and Mental Health, School of Psychological Sciences and Monash Biomedical ImagingMonash UniversityMelbourneVictoriaAustralia
| | - Henk Temmingh
- Department of Psychiatry and Mental HealthUniversity of Cape TownCape TownSouth Africa
| | - Lea Teutenberg
- Department of Psychiatry and PsychotherapyPhilipps‐University MarburgMarburgGermany
| | | | - Sophia I. Thomopoulos
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaMarina del ReyCaliforniaUSA
| | - Snezana Urosevic
- Department of Psychiatry & Behavioral SciencesUniversity of MinnesotaMinneapolisMinnesotaUSA
- Minneapolis VA Health Care SystemMinneapolisMinnesotaUSA
| | - Paula Usemann
- Department of Psychiatry and PsychotherapyPhilipps‐University MarburgMarburgGermany
| | - Neeltje E. M. van Haren
- Department of Child and Adolescent Psychiatry/PsychologyErasmus University Medical CenterRotterdamThe Netherlands
- Department of PsychiatryUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Cristian Vargas
- Research Group in Psychiatry GIPSI, Department of Psychiatry, Faculty of MedicineUniversidad de AntioquiaMedellinColombia
| | - Eduard Vieta
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM, Instituto de Salud Carlos III, Institute of NeuroscienceUniversity of Barcelona, Hospital ClínicBarcelonaSpain
| | - Enric Vilajosana
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)BarcelonaSpain
| | - Annabel Vreeker
- Department of Child and Adolescent Psychiatry/PsychologyErasmus University Medical CenterRotterdamThe Netherlands
- Department of Psychology, Education and Child StudiesErasmus University RotterdamRotterdamThe Netherlands
| | - Nils R. Winter
- Institute for Translational PsychiatryUniversity of MünsterMünsterGermany
| | | | - Paul M. Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaMarina del ReyCaliforniaUSA
| | - Ole A. Andreassen
- Institute of Clinical Medicine, Norwegian Centre for Mental Disorders Research (NORMENT)University of Oslo and Division of Mental Health and Addiction, Oslo University HospitalOsloNorway
| | - Christopher R. K. Ching
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaMarina del ReyCaliforniaUSA
| | - Tomas Hajek
- Department of PsychiatryDalhousie UniversityHalifaxNova ScotiaCanada
- National Institute of Mental HealthKlecanyCzech Republic
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3
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Bortolozzi A, Fico G, Berk M, Solmi M, Fornaro M, Quevedo J, Zarate CA, Kessing LV, Vieta E, Carvalho AF. New Advances in the Pharmacology and Toxicology of Lithium: A Neurobiologically Oriented Overview. Pharmacol Rev 2024; 76:323-357. [PMID: 38697859 PMCID: PMC11068842 DOI: 10.1124/pharmrev.120.000007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 02/02/2024] [Accepted: 02/05/2024] [Indexed: 05/05/2024] Open
Abstract
Over the last six decades, lithium has been considered the gold standard treatment for the long-term management of bipolar disorder due to its efficacy in preventing both manic and depressive episodes as well as suicidal behaviors. Nevertheless, despite numerous observed effects on various cellular pathways and biologic systems, the precise mechanism through which lithium stabilizes mood remains elusive. Furthermore, there is recent support for the therapeutic potential of lithium in other brain diseases. This review offers a comprehensive examination of contemporary understanding and predominant theories concerning the diverse mechanisms underlying lithium's effects. These findings are based on investigations utilizing cellular and animal models of neurodegenerative and psychiatric disorders. Recent studies have provided additional support for the significance of glycogen synthase kinase-3 (GSK3) inhibition as a crucial mechanism. Furthermore, research has shed more light on the interconnections between GSK3-mediated neuroprotective, antioxidant, and neuroplasticity processes. Moreover, recent advancements in animal and human models have provided valuable insights into how lithium-induced modifications at the homeostatic synaptic plasticity level may play a pivotal role in its clinical effectiveness. We focused on findings from translational studies suggesting that lithium may interface with microRNA expression. Finally, we are exploring the repurposing potential of lithium beyond bipolar disorder. These recent findings on the therapeutic mechanisms of lithium have provided important clues toward developing predictive models of response to lithium treatment and identifying new biologic targets. SIGNIFICANCE STATEMENT: Lithium is the drug of choice for the treatment of bipolar disorder, but its mechanism of action in stabilizing mood remains elusive. This review presents the latest evidence on lithium's various mechanisms of action. Recent evidence has strengthened glycogen synthase kinase-3 (GSK3) inhibition, changes at the level of homeostatic synaptic plasticity, and regulation of microRNA expression as key mechanisms, providing an intriguing perspective that may help bridge the mechanistic gap between molecular functions and its clinical efficacy as a mood stabilizer.
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Affiliation(s)
- Analia Bortolozzi
- Institut d'Investigacions Biomèdiques de Barcelona (IIBB), Spanish National Research Council (CSIC), Barcelona, Spain (A.B.); Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain (A.B., G.F., E.V.); Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Madrid, Spain (A.B., G.F., E.V.); Hospital Clinic, Institute of Neuroscience, University of Barcelona, Barcelona, Spain (G.F., E.V.); IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Victoria, Australia (M.B., A.F.C.); Department of Psychiatry, University of Ottawa, Ontario, Canada (M.S.); The Champlain First Episode Psychosis Program, Department of Mental Health, The Ottawa Hospital, Ontario, Canada (M.S.); Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany (M.S.); Section of Psychiatry, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, Naples, Italy (M.F.); Center of Excellence on Mood Disorders, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UT Health), Houston, Texas (J.Q.); Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland (C.A.Z.); Copenhagen Affective Disorders Research Centre (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Denmark (L.V.K.); and Department of Clinical Medicine, University of Copenhagen, Denmark (L.V.K.)
| | - Giovanna Fico
- Institut d'Investigacions Biomèdiques de Barcelona (IIBB), Spanish National Research Council (CSIC), Barcelona, Spain (A.B.); Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain (A.B., G.F., E.V.); Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Madrid, Spain (A.B., G.F., E.V.); Hospital Clinic, Institute of Neuroscience, University of Barcelona, Barcelona, Spain (G.F., E.V.); IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Victoria, Australia (M.B., A.F.C.); Department of Psychiatry, University of Ottawa, Ontario, Canada (M.S.); The Champlain First Episode Psychosis Program, Department of Mental Health, The Ottawa Hospital, Ontario, Canada (M.S.); Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany (M.S.); Section of Psychiatry, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, Naples, Italy (M.F.); Center of Excellence on Mood Disorders, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UT Health), Houston, Texas (J.Q.); Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland (C.A.Z.); Copenhagen Affective Disorders Research Centre (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Denmark (L.V.K.); and Department of Clinical Medicine, University of Copenhagen, Denmark (L.V.K.)
| | - Michael Berk
- Institut d'Investigacions Biomèdiques de Barcelona (IIBB), Spanish National Research Council (CSIC), Barcelona, Spain (A.B.); Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain (A.B., G.F., E.V.); Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Madrid, Spain (A.B., G.F., E.V.); Hospital Clinic, Institute of Neuroscience, University of Barcelona, Barcelona, Spain (G.F., E.V.); IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Victoria, Australia (M.B., A.F.C.); Department of Psychiatry, University of Ottawa, Ontario, Canada (M.S.); The Champlain First Episode Psychosis Program, Department of Mental Health, The Ottawa Hospital, Ontario, Canada (M.S.); Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany (M.S.); Section of Psychiatry, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, Naples, Italy (M.F.); Center of Excellence on Mood Disorders, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UT Health), Houston, Texas (J.Q.); Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland (C.A.Z.); Copenhagen Affective Disorders Research Centre (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Denmark (L.V.K.); and Department of Clinical Medicine, University of Copenhagen, Denmark (L.V.K.)
| | - Marco Solmi
- Institut d'Investigacions Biomèdiques de Barcelona (IIBB), Spanish National Research Council (CSIC), Barcelona, Spain (A.B.); Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain (A.B., G.F., E.V.); Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Madrid, Spain (A.B., G.F., E.V.); Hospital Clinic, Institute of Neuroscience, University of Barcelona, Barcelona, Spain (G.F., E.V.); IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Victoria, Australia (M.B., A.F.C.); Department of Psychiatry, University of Ottawa, Ontario, Canada (M.S.); The Champlain First Episode Psychosis Program, Department of Mental Health, The Ottawa Hospital, Ontario, Canada (M.S.); Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany (M.S.); Section of Psychiatry, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, Naples, Italy (M.F.); Center of Excellence on Mood Disorders, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UT Health), Houston, Texas (J.Q.); Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland (C.A.Z.); Copenhagen Affective Disorders Research Centre (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Denmark (L.V.K.); and Department of Clinical Medicine, University of Copenhagen, Denmark (L.V.K.)
| | - Michele Fornaro
- Institut d'Investigacions Biomèdiques de Barcelona (IIBB), Spanish National Research Council (CSIC), Barcelona, Spain (A.B.); Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain (A.B., G.F., E.V.); Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Madrid, Spain (A.B., G.F., E.V.); Hospital Clinic, Institute of Neuroscience, University of Barcelona, Barcelona, Spain (G.F., E.V.); IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Victoria, Australia (M.B., A.F.C.); Department of Psychiatry, University of Ottawa, Ontario, Canada (M.S.); The Champlain First Episode Psychosis Program, Department of Mental Health, The Ottawa Hospital, Ontario, Canada (M.S.); Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany (M.S.); Section of Psychiatry, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, Naples, Italy (M.F.); Center of Excellence on Mood Disorders, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UT Health), Houston, Texas (J.Q.); Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland (C.A.Z.); Copenhagen Affective Disorders Research Centre (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Denmark (L.V.K.); and Department of Clinical Medicine, University of Copenhagen, Denmark (L.V.K.)
| | - Joao Quevedo
- Institut d'Investigacions Biomèdiques de Barcelona (IIBB), Spanish National Research Council (CSIC), Barcelona, Spain (A.B.); Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain (A.B., G.F., E.V.); Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Madrid, Spain (A.B., G.F., E.V.); Hospital Clinic, Institute of Neuroscience, University of Barcelona, Barcelona, Spain (G.F., E.V.); IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Victoria, Australia (M.B., A.F.C.); Department of Psychiatry, University of Ottawa, Ontario, Canada (M.S.); The Champlain First Episode Psychosis Program, Department of Mental Health, The Ottawa Hospital, Ontario, Canada (M.S.); Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany (M.S.); Section of Psychiatry, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, Naples, Italy (M.F.); Center of Excellence on Mood Disorders, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UT Health), Houston, Texas (J.Q.); Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland (C.A.Z.); Copenhagen Affective Disorders Research Centre (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Denmark (L.V.K.); and Department of Clinical Medicine, University of Copenhagen, Denmark (L.V.K.)
| | - Carlos A Zarate
- Institut d'Investigacions Biomèdiques de Barcelona (IIBB), Spanish National Research Council (CSIC), Barcelona, Spain (A.B.); Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain (A.B., G.F., E.V.); Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Madrid, Spain (A.B., G.F., E.V.); Hospital Clinic, Institute of Neuroscience, University of Barcelona, Barcelona, Spain (G.F., E.V.); IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Victoria, Australia (M.B., A.F.C.); Department of Psychiatry, University of Ottawa, Ontario, Canada (M.S.); The Champlain First Episode Psychosis Program, Department of Mental Health, The Ottawa Hospital, Ontario, Canada (M.S.); Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany (M.S.); Section of Psychiatry, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, Naples, Italy (M.F.); Center of Excellence on Mood Disorders, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UT Health), Houston, Texas (J.Q.); Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland (C.A.Z.); Copenhagen Affective Disorders Research Centre (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Denmark (L.V.K.); and Department of Clinical Medicine, University of Copenhagen, Denmark (L.V.K.)
| | - Lars V Kessing
- Institut d'Investigacions Biomèdiques de Barcelona (IIBB), Spanish National Research Council (CSIC), Barcelona, Spain (A.B.); Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain (A.B., G.F., E.V.); Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Madrid, Spain (A.B., G.F., E.V.); Hospital Clinic, Institute of Neuroscience, University of Barcelona, Barcelona, Spain (G.F., E.V.); IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Victoria, Australia (M.B., A.F.C.); Department of Psychiatry, University of Ottawa, Ontario, Canada (M.S.); The Champlain First Episode Psychosis Program, Department of Mental Health, The Ottawa Hospital, Ontario, Canada (M.S.); Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany (M.S.); Section of Psychiatry, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, Naples, Italy (M.F.); Center of Excellence on Mood Disorders, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UT Health), Houston, Texas (J.Q.); Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland (C.A.Z.); Copenhagen Affective Disorders Research Centre (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Denmark (L.V.K.); and Department of Clinical Medicine, University of Copenhagen, Denmark (L.V.K.)
| | - Eduard Vieta
- Institut d'Investigacions Biomèdiques de Barcelona (IIBB), Spanish National Research Council (CSIC), Barcelona, Spain (A.B.); Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain (A.B., G.F., E.V.); Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Madrid, Spain (A.B., G.F., E.V.); Hospital Clinic, Institute of Neuroscience, University of Barcelona, Barcelona, Spain (G.F., E.V.); IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Victoria, Australia (M.B., A.F.C.); Department of Psychiatry, University of Ottawa, Ontario, Canada (M.S.); The Champlain First Episode Psychosis Program, Department of Mental Health, The Ottawa Hospital, Ontario, Canada (M.S.); Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany (M.S.); Section of Psychiatry, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, Naples, Italy (M.F.); Center of Excellence on Mood Disorders, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UT Health), Houston, Texas (J.Q.); Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland (C.A.Z.); Copenhagen Affective Disorders Research Centre (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Denmark (L.V.K.); and Department of Clinical Medicine, University of Copenhagen, Denmark (L.V.K.)
| | - Andre F Carvalho
- Institut d'Investigacions Biomèdiques de Barcelona (IIBB), Spanish National Research Council (CSIC), Barcelona, Spain (A.B.); Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain (A.B., G.F., E.V.); Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Madrid, Spain (A.B., G.F., E.V.); Hospital Clinic, Institute of Neuroscience, University of Barcelona, Barcelona, Spain (G.F., E.V.); IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Victoria, Australia (M.B., A.F.C.); Department of Psychiatry, University of Ottawa, Ontario, Canada (M.S.); The Champlain First Episode Psychosis Program, Department of Mental Health, The Ottawa Hospital, Ontario, Canada (M.S.); Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany (M.S.); Section of Psychiatry, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, Naples, Italy (M.F.); Center of Excellence on Mood Disorders, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UT Health), Houston, Texas (J.Q.); Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland (C.A.Z.); Copenhagen Affective Disorders Research Centre (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Denmark (L.V.K.); and Department of Clinical Medicine, University of Copenhagen, Denmark (L.V.K.)
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4
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Grezmak T, Krishnan K. Factors that can influence neurocognitive performance: a case study in a controlled environment. Neurocase 2023; 29:180-185. [PMID: 38678306 DOI: 10.1080/13554794.2024.2348228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 04/15/2024] [Indexed: 04/29/2024]
Abstract
This is a case study of a patient in her 50s who presents with severe malnutrition, alcohol dependence, and untreated Bipolar Affective Disorder. She was hospitalized multiple times and placed in a group home 1 year after symptom onset. Cognitive and functional improvements are observed over a 6-year period, as demonstrated by 3 comprehensive neuropsychological evaluations. Residing in a monitored and structured environment for 6 years, with stability in psychiatric medications, monitored nutrition and abstinence from alcohol are attributed to this improvement. This study provides unique evidence of the impact of balanced nutrition and improvements in psychiatric symptoms on cognition.
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Affiliation(s)
- Tiffany Grezmak
- Neurological Institute, Section of Neuropsychology, Cleveland Clinic, Cleveland, OH, USA
| | - Kamini Krishnan
- Neurological Institute, Section of Neuropsychology, Cleveland Clinic, Cleveland, OH, USA
- Lou Ruvo Center for Brain Health, Cleveland Clinic, Cleveland, OH, USA
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5
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Ossani GP, Riudavets MA, D'Annunzio V, Uceda AM, Ponzo O, Lago NR, Martino DJ. Effect of lithium in pyramidal neurons of Cornu Ammonis in an animal model. J Psychiatr Res 2023; 167:33-36. [PMID: 37826875 DOI: 10.1016/j.jpsychires.2023.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 07/05/2023] [Accepted: 10/04/2023] [Indexed: 10/14/2023]
Abstract
Bipolar disorder has been associated with a decrease in hippocampal size, and lithium appears to reverse this neuroanatomical abnormality. The objective of this work was to evaluate, at a cellular level, the size of both cell body and nucleus of pyramidal neurons located throughout the Cornu Ammonis (CA1 to CA4 regions). To perform this duty, we used 16 rats that were randomized into two groups: control and dietary lithium-treated. After one month, they were sacrificed and their brains removed for histopathological analysis. Serial photos of the entire Cornu Ammonis were taken and, after dividing them into 4 regions of interest, we measured the cell body and nucleus on each pyramidal neuron belonging to the first 5 photos of each region of interest. As a result of this histological analysis, cell body area and nuclear area were significantly larger in the experimental group in a specific area of the Cornu Ammonis that could correspond to CA2 or the transition between CA1 and CA2. These results suggest that the effect of lithium is not homogeneous throughout the hippocampus and allows directing future studies to a specific area of this structure.
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Affiliation(s)
- G P Ossani
- Centre of Experimental and Applied Pathology, Department of Pathology, School of Medicine, University of Buenos Aires, Buenos Aires, Argentina; Laboratory of Experimental Medicine, Hospital Alemán, Buenos Aires, Argentina; National Council of Scientific and Technical Research (CONICET), Argentina.
| | - M A Riudavets
- Office of the Chief Medical Examiner, Supreme Court of Justice. Buenos Aires, Argentina
| | - V D'Annunzio
- National Council of Scientific and Technical Research (CONICET), Argentina; Institute of Cardiovascular Physiopathology, Department of Pathology and Institute of Biochemistry and Molecular Medicine (IBIMOL UBA-CONICET), School of Medicine, University of Buenos Aires, Buenos Aires, Argentina
| | - A M Uceda
- Centre of Experimental and Applied Pathology, Department of Pathology, School of Medicine, University of Buenos Aires, Buenos Aires, Argentina; Laboratory of Experimental Medicine, Hospital Alemán, Buenos Aires, Argentina
| | - O Ponzo
- Department of Physiology, School of Medicine, University of Buenos Aires, Buenos Aires, Argentina
| | - N R Lago
- Centre of Experimental and Applied Pathology, Department of Pathology, School of Medicine, University of Buenos Aires, Buenos Aires, Argentina
| | - D J Martino
- National Council of Scientific and Technical Research (CONICET), Argentina; Institute of Cognitive and Translational Neuroscience (INCyT), INECO Foundation, Favaloro University, Buenos Aires, Argentina
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6
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Dols A, Sekhon H, Rej S, Klaus F, Bodenstein K, Sajatovic M. Bipolar Disorder Among Older Adults: Newer Evidence to Guide Clinical Practice. FOCUS (AMERICAN PSYCHIATRIC PUBLISHING) 2023; 21:370-379. [PMID: 38695001 PMCID: PMC11058954 DOI: 10.1176/appi.focus.20230010] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2024]
Abstract
The term older-age bipolar disorder (OABD) refers to patients with bipolar disorder who are ages 50 and older. Research findings suggest important differences, including the attenuation of manic symptoms with age and the occurrence of multiple somatic comorbid conditions. Although the pharmacological treatment of OABD is fairly similar, adverse effects, somatic comorbidity, and drug-drug interactions are more common. Lithium is effective in treating OABD and may have the potential to be neuroprotective. Anticonvulsants and second-generation antipsychotics have a growing evidence supporting their use in treating OABD. Behavioral intervention can be a helpful adjunct to pharmacological treatment. Clinicians and health care systems need to be prepared to provide care and services to individuals with bipolar disorder throughout the life span. Although older adults have typically been excluded from bipolar disorder RCTs, emerging efforts organized by global advocates and harnessing teams of clinicians and scientists have the potential to advance care.
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Affiliation(s)
- Annemiek Dols
- Department of Psychiatry, University Medical Centre Utrecht, Utrecht, the Netherlands (Dols); Department of Psychiatry, Jewish General Hospital/Lady Davis Institute, McGill University, Montreal, Quebec, Canada (Sekhon, Rej, Bodenstein); McLean Hospital (Harvard Medical School Affiliate), Belmont, Massachusetts (Sekhon); Department of Psychiatry, University of California, San Diego, La Jolla, California (Klaus); Case Western Reserve University School of Medicine, University Hospitals Cleveland Medical Center, Cleveland, Ohio (Sajatovic)
| | - Harmehr Sekhon
- Department of Psychiatry, University Medical Centre Utrecht, Utrecht, the Netherlands (Dols); Department of Psychiatry, Jewish General Hospital/Lady Davis Institute, McGill University, Montreal, Quebec, Canada (Sekhon, Rej, Bodenstein); McLean Hospital (Harvard Medical School Affiliate), Belmont, Massachusetts (Sekhon); Department of Psychiatry, University of California, San Diego, La Jolla, California (Klaus); Case Western Reserve University School of Medicine, University Hospitals Cleveland Medical Center, Cleveland, Ohio (Sajatovic)
| | - Soham Rej
- Department of Psychiatry, University Medical Centre Utrecht, Utrecht, the Netherlands (Dols); Department of Psychiatry, Jewish General Hospital/Lady Davis Institute, McGill University, Montreal, Quebec, Canada (Sekhon, Rej, Bodenstein); McLean Hospital (Harvard Medical School Affiliate), Belmont, Massachusetts (Sekhon); Department of Psychiatry, University of California, San Diego, La Jolla, California (Klaus); Case Western Reserve University School of Medicine, University Hospitals Cleveland Medical Center, Cleveland, Ohio (Sajatovic)
| | - Federica Klaus
- Department of Psychiatry, University Medical Centre Utrecht, Utrecht, the Netherlands (Dols); Department of Psychiatry, Jewish General Hospital/Lady Davis Institute, McGill University, Montreal, Quebec, Canada (Sekhon, Rej, Bodenstein); McLean Hospital (Harvard Medical School Affiliate), Belmont, Massachusetts (Sekhon); Department of Psychiatry, University of California, San Diego, La Jolla, California (Klaus); Case Western Reserve University School of Medicine, University Hospitals Cleveland Medical Center, Cleveland, Ohio (Sajatovic)
| | - Katie Bodenstein
- Department of Psychiatry, University Medical Centre Utrecht, Utrecht, the Netherlands (Dols); Department of Psychiatry, Jewish General Hospital/Lady Davis Institute, McGill University, Montreal, Quebec, Canada (Sekhon, Rej, Bodenstein); McLean Hospital (Harvard Medical School Affiliate), Belmont, Massachusetts (Sekhon); Department of Psychiatry, University of California, San Diego, La Jolla, California (Klaus); Case Western Reserve University School of Medicine, University Hospitals Cleveland Medical Center, Cleveland, Ohio (Sajatovic)
| | - Martha Sajatovic
- Department of Psychiatry, University Medical Centre Utrecht, Utrecht, the Netherlands (Dols); Department of Psychiatry, Jewish General Hospital/Lady Davis Institute, McGill University, Montreal, Quebec, Canada (Sekhon, Rej, Bodenstein); McLean Hospital (Harvard Medical School Affiliate), Belmont, Massachusetts (Sekhon); Department of Psychiatry, University of California, San Diego, La Jolla, California (Klaus); Case Western Reserve University School of Medicine, University Hospitals Cleveland Medical Center, Cleveland, Ohio (Sajatovic)
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7
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Jahandideh M, Ebrahimi E, Farzaei MH, Barzegari E. The effect of chronic lithium treatment on hippocampal progenitor cells: Transcriptomic analysis and systems pharmacology. Brain Behav 2023; 13:e3215. [PMID: 37553827 PMCID: PMC10570482 DOI: 10.1002/brb3.3215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 07/24/2023] [Accepted: 07/29/2023] [Indexed: 08/10/2023] Open
Abstract
OBJECTIVE To identify the genomics underpinning the increased volume of the hippocampus after long-term administration of lithium (Li) in bipolar disorder patients, hypothesizing the possible contribution of cell growth and differentiation pathways to this complication. METHODS RNA-seq profiles of four samples of hippocampal progenitor cells chronically treated with a high dose of Li and three samples chronically treated with the therapeutic dose were retrieved from NCBI-GEO. The raw data underwent filtration, quality control, expression fold change, adjusted significance, functional enrichment, and pharmacogenomic analyses. RESULTS CCND1, LOXL2, and PRNP were identified as the genes involved in the drug response and the chronic effects of Li in the hippocampal cells. GSK-3β was also a hub in the pharmacogenomic network of Li. In addition, ZMPSTE24 and DHX35 were identified as the important genes in lithium therapy. CONCLUSIONS As shown by gene ontology results, these findings conclude that lithium may increase the size of the hippocampus in bipolar patients by stimulating the generation of new neurons and promoting their differentiation into neuroblasts, neurons, or microglia.
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Affiliation(s)
- Mina Jahandideh
- Medical Biology Research CenterHealth Technology InstituteKermanshah University of Medical SciencesKermanshahIran
| | - Erfan Ebrahimi
- Student Research CommitteeKermanshah University of Medical SciencesKermanshahIran
| | - Mohammad Hosein Farzaei
- Pharmaceutical Sciences Research Center, Health InstituteKermanshah University of Medical SciencesKermanshahIran
| | - Ebrahim Barzegari
- Medical Biology Research CenterHealth Technology InstituteKermanshah University of Medical SciencesKermanshahIran
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8
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Atwood B, Yassin W, Chan SY, Hall MH. Subfield-specific longitudinal changes of hippocampal volumes in patients with early-stage bipolar disorder. Bipolar Disord 2023; 25:301-311. [PMID: 36855850 PMCID: PMC10330583 DOI: 10.1111/bdi.13315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/02/2023]
Abstract
BACKGROUND The hippocampus is a heterogeneous structure composed of biologically and functionally distinct subfields. Hippocampal aberrations are proposed to play a fundamental role in the etiology of psychotic symptoms. Bipolar disorder (BPD) has substantial overlap in symptomatology and genetic liability with schizophrenia (SZ), and reduced hippocampal volumes, particularly at the chronic illness stages, are documented in both disorders. Studies of hippocampal subfields in the early stage of BPD are limited and cross-sectional findings to date report no reduction in hippocampal volumes. To our knowledge, there have been no longitudinal studies of BPD evaluating hippocampal volumes in the early phase of illness. We investigated the longitudinal changes in hippocampal regions and subfields in BPD mainly and in early stage of psychosis (ESP) patients more broadly and compared them to those in controls (HC). METHODS Baseline clinical and structural MRI data were acquired from 88 BPD, from a total of 143 ESP patients, and 74 HCs. Of those, 66 participants (23 HC, 43 patients) completed a 12-month follow-up visit. The hippocampus regions and subfields were segmented using Freesurfer automated pipeline. RESULTS We found general baseline deficits in hippocampal volumes among BPD and ESP cohorts. Both cohorts displayed significant increases in the anterior hippocampal region and dentate gyrus compared with controls. Additionally, antipsychotic medications were positively correlated with the posterior region at baseline. CONCLUSION These findings highlight brain plasticity in BPD and in ESP patients providing evidence that deviations in hippocampal volumes are adaptive responses to atypical signaling rather than progressive degeneration.
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Affiliation(s)
- Bruce Atwood
- Psychosis Neurobiology Laboratory, McLean Hospital, Belmont, MA, USA
- Schizophrenia and Bipolar Disorders Program, McLean Hospital, Belmont, MA, USA
| | - Walid Yassin
- Psychosis Neurobiology Laboratory, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Shi Yu Chan
- Psychosis Neurobiology Laboratory, McLean Hospital, Belmont, MA, USA
- Schizophrenia and Bipolar Disorders Program, McLean Hospital, Belmont, MA, USA
| | - Mei-Hua Hall
- Psychosis Neurobiology Laboratory, McLean Hospital, Belmont, MA, USA
- Schizophrenia and Bipolar Disorders Program, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
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9
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Förster K, Grotegerd D, Dohm K, Lemke H, Enneking V, Meinert S, Redlich R, Heindel W, Bauer J, Kugel H, Suslow T, Ohrmann P, Carballedo A, O'Keane V, Fagan A, Doolin K, McCarthy H, Kanske P, Frodl T, Dannlowski U. Association of hospitalization with structural brain alterations in patients with affective disorders over nine years. Transl Psychiatry 2023; 13:170. [PMID: 37202406 DOI: 10.1038/s41398-023-02452-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 04/17/2023] [Accepted: 04/25/2023] [Indexed: 05/20/2023] Open
Abstract
Repeated hospitalizations are a characteristic of severe disease courses in patients with affective disorders (PAD). To elucidate how a hospitalization during a nine-year follow-up in PAD affects brain structure, a longitudinal case-control study (mean [SD] follow-up period 8.98 [2.20] years) was conducted using structural neuroimaging. We investigated PAD (N = 38) and healthy controls (N = 37) at two sites (University of Münster, Germany, Trinity College Dublin, Ireland). PAD were divided into two groups based on the experience of in-patient psychiatric treatment during follow-up. Since the Dublin-patients were outpatients at baseline, the re-hospitalization analysis was limited to the Münster site (N = 52). Voxel-based morphometry was employed to examine hippocampus, insula, dorsolateral prefrontal cortex and whole-brain gray matter in two models: (1) group (patients/controls)×time (baseline/follow-up) interaction; (2) group (hospitalized patients/not-hospitalized patients/controls)×time interaction. Patients lost significantly more whole-brain gray matter volume of superior temporal gyrus and temporal pole compared to HC (pFWE = 0.008). Patients hospitalized during follow-up lost significantly more insular volume than healthy controls (pFWE = 0.025) and more volume in their hippocampus compared to not-hospitalized patients (pFWE = 0.023), while patients without re-hospitalization did not differ from controls. These effects of hospitalization remained stable in a smaller sample excluding patients with bipolar disorder. PAD show gray matter volume decline in temporo-limbic regions over nine years. A hospitalization during follow-up comes with intensified gray matter volume decline in the insula and hippocampus. Since hospitalizations are a correlate of severity, this finding corroborates and extends the hypothesis that a severe course of disease has detrimental long-term effects on temporo-limbic brain structure in PAD.
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Affiliation(s)
- Katharina Förster
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- Clinical Psychology and Behavioral Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Dominik Grotegerd
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Katharina Dohm
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Hannah Lemke
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Verena Enneking
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Susanne Meinert
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- Institute for Translational Neuroscience, University of Münster, Münster, Germany
| | - Ronny Redlich
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- Department of Psychology, University of Halle, Halle, Germany
| | - Walter Heindel
- Department of Radiology, University of Münster and University Hospital Münster, Münster, Germany
| | - Jochen Bauer
- Department of Radiology, University of Münster and University Hospital Münster, Münster, Germany
| | - Harald Kugel
- Department of Radiology, University of Münster and University Hospital Münster, Münster, Germany
| | - Thomas Suslow
- Department of Psychosomatic Medicine and Psychotherapy, University of Leipzig Medical Center, Leipzig, Germany
| | | | - Angela Carballedo
- Department of Psychiatry & Trinity College Institute of Neuroscience, University Dublin, Dublin, Ireland
| | - Veronica O'Keane
- Department of Psychiatry & Trinity College Institute of Neuroscience, University Dublin, Dublin, Ireland
| | - Andrew Fagan
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Kelly Doolin
- Department of Psychiatry & Trinity College Institute of Neuroscience, University Dublin, Dublin, Ireland
| | - Hazel McCarthy
- Department of Psychiatry & Trinity College Institute of Neuroscience, University Dublin, Dublin, Ireland
| | - Philipp Kanske
- Clinical Psychology and Behavioral Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Thomas Frodl
- Department of Psychiatry & Trinity College Institute of Neuroscience, University Dublin, Dublin, Ireland
- Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital Aachen, RWTH University Aachen, Aachen, Germany
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany.
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10
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McWhinney SR, Abé C, Alda M, Benedetti F, Bøen E, del Mar Bonnin C, Borgers T, Brosch K, Canales-Rodríguez EJ, Cannon DM, Dannlowski U, Diaz-Zuluaga AM, Dietze LM, Elvsåshagen T, Eyler LT, Fullerton JM, Goikolea JM, Goltermann J, Grotegerd D, Haarman BCM, Hahn T, Howells FM, Ingvar M, Jahanshad N, Kircher TTJ, Krug A, Kuplicki RT, Landén M, Lemke H, Liberg B, Lopez-Jaramillo C, Malt UF, Martyn FM, Mazza E, McDonald C, McPhilemy G, Meier S, Meinert S, Meller T, Melloni EMT, Mitchell PB, Nabulsi L, Nenadic I, Opel N, Ophoff RA, Overs BJ, Pfarr JK, Pineda-Zapata JA, Pomarol-Clotet E, Raduà J, Repple J, Richter M, Ringwald KG, Roberts G, Ross A, Salvador R, Savitz J, Schmitt S, Schofield PR, Sim K, Stein DJ, Stein F, Temmingh HS, Thiel K, Thomopoulos SI, van Haren NEM, Vargas C, Vieta E, Vreeker A, Waltemate L, Yatham LN, Ching CRK, Andreassen OA, Thompson PM, Hajek T. Mega-analysis of association between obesity and cortical morphology in bipolar disorders: ENIGMA study in 2832 participants. Psychol Med 2023; 53:1-11. [PMID: 36846964 PMCID: PMC10600817 DOI: 10.1017/s0033291723000223] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 01/05/2023] [Accepted: 01/19/2023] [Indexed: 02/28/2023]
Abstract
BACKGROUND Obesity is highly prevalent and disabling, especially in individuals with severe mental illness including bipolar disorders (BD). The brain is a target organ for both obesity and BD. Yet, we do not understand how cortical brain alterations in BD and obesity interact. METHODS We obtained body mass index (BMI) and MRI-derived regional cortical thickness, surface area from 1231 BD and 1601 control individuals from 13 countries within the ENIGMA-BD Working Group. We jointly modeled the statistical effects of BD and BMI on brain structure using mixed effects and tested for interaction and mediation. We also investigated the impact of medications on the BMI-related associations. RESULTS BMI and BD additively impacted the structure of many of the same brain regions. Both BMI and BD were negatively associated with cortical thickness, but not surface area. In most regions the number of jointly used psychiatric medication classes remained associated with lower cortical thickness when controlling for BMI. In a single region, fusiform gyrus, about a third of the negative association between number of jointly used psychiatric medications and cortical thickness was mediated by association between the number of medications and higher BMI. CONCLUSIONS We confirmed consistent associations between higher BMI and lower cortical thickness, but not surface area, across the cerebral mantle, in regions which were also associated with BD. Higher BMI in people with BD indicated more pronounced brain alterations. BMI is important for understanding the neuroanatomical changes in BD and the effects of psychiatric medications on the brain.
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Affiliation(s)
| | - Christoph Abé
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Martin Alda
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Francesco Benedetti
- Vita-Salute San Raffaele University, Milan, Italy
- Division of Neuroscience, Psychiatry and Psychobiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Erlend Bøen
- Unit for Psychosomatics/CL Outpatient Clinic for Adults, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Caterina del Mar Bonnin
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - Tiana Borgers
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | | | - Dara M. Cannon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, University of Galway, Galway, Ireland
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Ana M. Diaz-Zuluaga
- Research Group in Psychiatry GIPSI, Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia
| | | | - Torbjørn Elvsåshagen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Neurology, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Lisa T. Eyler
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
- Desert-Pacific MIRECC, VA San Diego Healthcare, San Diego, CA, USA
| | - Janice M. Fullerton
- Neuroscience Research Australia, Randwick, NSW, Australia
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Jose M. Goikolea
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - Janik Goltermann
- Department of Psychiatry, University of Münster, Münster, Germany
| | | | - Bartholomeus C. M. Haarman
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Tim Hahn
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Fleur M. Howells
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Martin Ingvar
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Tilo T. J. Kircher
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Axel Krug
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | | | - Mikael Landén
- Department of Neuroscience and Physiology, Sahlgrenska Academy at Gothenburg University, Gothenburg, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Hannah Lemke
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Benny Liberg
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Carlos Lopez-Jaramillo
- Research Group in Psychiatry GIPSI, Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Ulrik F. Malt
- Unit for Psychosomatics/CL Outpatient Clinic for Adults, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Neurology, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Fiona M. Martyn
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, University of Galway, Galway, Ireland
| | - Elena Mazza
- Vita-Salute San Raffaele University, Milan, Italy
- Division of Neuroscience, Psychiatry and Psychobiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Colm McDonald
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, University of Galway, Galway, Ireland
| | - Genevieve McPhilemy
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, University of Galway, Galway, Ireland
| | - Sandra Meier
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Susanne Meinert
- Department of Psychiatry, University of Münster, Münster, Germany
- Institute for Translational Neuroscience, University of Münster, Münster, Germany
| | - Tina Meller
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
| | - Elisa M. T. Melloni
- Vita-Salute San Raffaele University, Milan, Italy
- Division of Neuroscience, Psychiatry and Psychobiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Philip B. Mitchell
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Leila Nabulsi
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, University of Galway, Galway, Ireland
| | - Igor Nenadic
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Nils Opel
- Department of Psychiatry, University of Münster, Münster, Germany
- Department of Psychiatry, Jena University Hospital/Friedrich-Schiller-University Jena, Jena, Germany
| | - Roel A. Ophoff
- UCLA Center for Neurobehavioral Genetics, Los Angeles, CA, USA
- Department of Psychiatry, Erasmus University Medical Center, Rotterdam, The Netherlands
| | | | - Julia-Katharina Pfarr
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Julian A. Pineda-Zapata
- Research Group, Instituto de Alta Tecnología Médica, Ayudas diagnósticas SURA, Medellin, Colombia
| | | | - Joaquim Raduà
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
- Institute of Psychiartry, King's College Londen, London, UK
| | - Jonathan Repple
- Department of Psychiatry, University of Münster, Münster, Germany
- Department for Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Goethe University, Frankfurt, Germany
| | - Maike Richter
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Kai G. Ringwald
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Gloria Roberts
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Alex Ross
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
| | - Jonathan Savitz
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
- Oxley College of Health Sciences, The University of Tulsa, Tulsa, OK, USA
| | - Simon Schmitt
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Peter R. Schofield
- Neuroscience Research Australia, Randwick, NSW, Australia
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Kang Sim
- West Region, Institute of Mental Health, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Dan J. Stein
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
- South African MRC Unit on Risk & Resilience in Mental Disorders, University of Cape Town, Cape Town, South Africa
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Henk S. Temmingh
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Katharina Thiel
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Sophia I. Thomopoulos
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Neeltje E. M. van Haren
- Department of Child and Adolescents Psychiatry/Psychology, Erasmus MC Sophia Children's Hospital, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Cristian Vargas
- Research Group in Psychiatry GIPSI, Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Eduard Vieta
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - Annabel Vreeker
- Department of Child and Adolescents Psychiatry/Psychology, Erasmus MC Sophia Children's Hospital, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Erasmus School of Social and Behavioural Sciences Department of Psychology, Education & Child Studies Erasmus University, Rotterdam, The Netherlands
| | - Lena Waltemate
- Department of Psychiatry, University of Münster, Münster, Germany
| | | | - Christopher R. K. Ching
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Ole A. Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Paul M. Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Tomas Hajek
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- National Institute of Mental Health, Klecany, Czech Republic
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11
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The neuroprotective and neuroplastic potential of glutamatergic therapeutic drugs in bipolar disorder. Neurosci Biobehav Rev 2022; 142:104906. [DOI: 10.1016/j.neubiorev.2022.104906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 09/30/2022] [Accepted: 10/02/2022] [Indexed: 11/21/2022]
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12
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Lithium Biological Action Mechanisms after Ischemic Stroke. Life (Basel) 2022; 12:life12111680. [DOI: 10.3390/life12111680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Revised: 10/18/2022] [Accepted: 10/19/2022] [Indexed: 11/05/2022] Open
Abstract
Lithium is a source of great scientific interest because although it has such a simple structure, relatively easy-to-analyze chemistry, and well-established physical properties, the plethora of effects on biological systems—which influence numerous cellular and molecular processes through not entirely explained mechanisms of action—generate a mystery that modern science is still trying to decipher. Lithium has multiple effects on neurotransmitter-mediated receptor signaling, ion transport, signaling cascades, hormonal regulation, circadian rhythm, and gene expression. The biochemical mechanisms of lithium action appear to be multifactorial and interrelated with the functioning of several enzymes, hormones, vitamins, and growth and transformation factors. The widespread and chaotic marketing of lithium salts in potions and mineral waters, always at inadequate concentrations for various diseases, has contributed to the general disillusionment with empirical medical hypotheses about the therapeutic role of lithium. Lithium salts were first used therapeutically in 1850 to relieve the symptoms of gout, rheumatism, and kidney stones. In 1949, Cade was credited with discovering the sedative effect of lithium salts in the state of manic agitation, but frequent cases of intoxication accompanied the therapy. In the 1960s, lithium was shown to prevent manic and also depressive recurrences. This prophylactic effect was first demonstrated in an open-label study using the “mirror” method and was later (after 1970) confirmed by several placebo-controlled double-blind studies. Lithium prophylaxis was similarly effective in bipolar and also unipolar patients. In 1967, the therapeutic value of lithemia was determined, included in the range of 0.5–1.5 mEq/L. Recently, new therapeutic perspectives on lithium are connected with improved neurological outcomes after ischemic stroke. The effects of lithium on the development and maintenance of neuroprotection can be divided into two categories: short-term effects and long-term effects. Unfortunately, the existing studies do not fully explain the lithium biological action mechanisms after ischemic stroke.
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13
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McWhinney SR, Abé C, Alda M, Benedetti F, Bøen E, del Mar Bonnin C, Borgers T, Brosch K, Canales-Rodríguez EJ, Cannon DM, Dannlowski U, Diaz-Zuluaga AM, Lorielle Dietze, Elvsåshagen T, Eyler LT, Fullerton JM, Goikolea JM, Goltermann J, Grotegerd D, Haarman BCM, Hahn T, Howells FM, Ingvar M, Kircher TTJ, Krug A, Kuplicki RT, Landén M, Lemke H, Liberg B, Lopez-Jaramillo C, Malt UF, Martyn FM, Mazza E, McDonald C, McPhilemy G, Meier S, Meinert S, Meller T, Melloni EMT, Mitchell PB, Nabulsi L, Nenadic I, Opel N, Ophoff RA, Overs BJ, Pfarr JK, Pineda-Zapata JA, Pomarol-Clotet E, Raduà J, Repple J, Richter M, Ringwald KG, Roberts G, Ross A, Salvador R, Savitz J, Schmitt S, Schofield PR, Sim K, Stein DJ, Stein F, Temmingh HS, Thiel K, Thomopoulos SI, van Haren NEM, Van Gestel H, Vargas C, Vieta E, Vreeker A, Waltemate L, Yatham LN, Ching CRK, Andreassen O, Thompson PM, Hajek T. Diagnosis of bipolar disorders and body mass index predict clustering based on similarities in cortical thickness-ENIGMA study in 2436 individuals. Bipolar Disord 2022; 24:509-520. [PMID: 34894200 PMCID: PMC9187778 DOI: 10.1111/bdi.13172] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
AIMS Rates of obesity have reached epidemic proportions, especially among people with psychiatric disorders. While the effects of obesity on the brain are of major interest in medicine, they remain markedly under-researched in psychiatry. METHODS We obtained body mass index (BMI) and magnetic resonance imaging-derived regional cortical thickness, surface area from 836 bipolar disorders (BD) and 1600 control individuals from 14 sites within the ENIGMA-BD Working Group. We identified regionally specific profiles of cortical thickness using K-means clustering and studied clinical characteristics associated with individual cortical profiles. RESULTS We detected two clusters based on similarities among participants in cortical thickness. The lower thickness cluster (46.8% of the sample) showed thinner cortex, especially in the frontal and temporal lobes and was associated with diagnosis of BD, higher BMI, and older age. BD individuals in the low thickness cluster were more likely to have the diagnosis of bipolar disorder I and less likely to be treated with lithium. In contrast, clustering based on similarities in the cortical surface area was unrelated to BD or BMI and only tracked age and sex. CONCLUSIONS We provide evidence that both BD and obesity are associated with similar alterations in cortical thickness, but not surface area. The fact that obesity increased the chance of having low cortical thickness could explain differences in cortical measures among people with BD. The thinner cortex in individuals with higher BMI, which was additive and similar to the BD-associated alterations, may suggest that treating obesity could lower the extent of cortical thinning in BD.
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Affiliation(s)
| | - Christoph Abé
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Martin Alda
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Francesco Benedetti
- Vita-Salute San Raffaele University, Milan, Italy.,Division of Neuroscience, Psychiatry and Psychobiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Erlend Bøen
- Unit for Psychosomatics / CL Outpatient Clinic for Adults, Division of Mental Health and Addiction, Oslo University Hospital, Oslo Norway
| | - Caterina del Mar Bonnin
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - Tiana Borgers
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | | | - Dara M. Cannon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Ana M. Diaz-Zuluaga
- Research Group in Psychiatry GIPSI, Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Lorielle Dietze
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Torbjørn Elvsåshagen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Neurology, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Lisa T. Eyler
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA.,Desert-Pacific MIRECC, VA San Diego Healthcare, San Diego, CA, USA
| | - Janice M. Fullerton
- Neuroscience Research Australia, Randwick, NSW, Australia.,School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Jose M. Goikolea
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - Janik Goltermann
- Department of Psychiatry, University of Münster, Münster, Germany
| | | | - Bartholomeus C. M. Haarman
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Tim Hahn
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Fleur M. Howells
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa.,Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Martin Ingvar
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Tilo T. J. Kircher
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Axel Krug
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany.,Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | | | - Mikael Landén
- Department of Neuroscience and Physiology, Sahlgrenska Academy at Gothenburg University, Gothenburg, Sweden.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Hannah Lemke
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Benny Liberg
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Carlos Lopez-Jaramillo
- Research Group in Psychiatry GIPSI, Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Ulrik F. Malt
- Unit for Psychosomatics / CL Outpatient Clinic for Adults, Division of Mental Health and Addiction, Oslo University Hospital, Oslo Norway.,Institute of Clinical Medicine, Department of Neurology, University of Oslo, Oslo, Norway
| | - Fiona M. Martyn
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Elena Mazza
- Vita-Salute San Raffaele University, Milan, Italy.,Division of Neuroscience, Psychiatry and Psychobiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Colm McDonald
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Genevieve McPhilemy
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Sandra Meier
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Susanne Meinert
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Tina Meller
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany.,Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
| | - Elisa M. T. Melloni
- Vita-Salute San Raffaele University, Milan, Italy.,Division of Neuroscience, Psychiatry and Psychobiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Philip B. Mitchell
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Leila Nabulsi
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Igor Nenadic
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Nils Opel
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Roel A. Ophoff
- UCLA Center for Neurobehavioral Genetics, Los Angeles, CA, USA.,Department of Psychiatry, Erasmus University Medical Center, Rotterdam, The Netherlands
| | | | - Julia-Katharina Pfarr
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Julian A. Pineda-Zapata
- Research Group, Instituto de Alta Tecnología Médica, Ayudas diagnósticas SURA, Medellin, Colombia
| | | | - Joaquim Raduà
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.,Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain.,Institute of Psychiartry, King’s College Londen, London, UK
| | - Jonathan Repple
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Maike Richter
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Kai G. Ringwald
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Gloria Roberts
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Alex Ross
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
| | - Jonathan Savitz
- Laureate Institute for Brain Research, Tulsa, OK, USA.,Oxley College of Health Sciences, The University of Tulsa, Tulsa, OK, USA
| | - Simon Schmitt
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Peter R. Schofield
- Neuroscience Research Australia, Randwick, NSW, Australia.,School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Kang Sim
- West Region, Institute of Mental Health, Singapore, Singapore.,Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Dan J. Stein
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa.,Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa.,South African MRC Unit on Risk & Resilience in Mental Disorders, University of Cape Town
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Henk S. Temmingh
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Katharina Thiel
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Sophia I. Thomopoulos
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Neeltje E. M. van Haren
- Department of Child and Adolescent Psychiatry and Psychology, Erasmus University, Rotterdam, The Netherlands.,Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Holly Van Gestel
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Cristian Vargas
- Research Group in Psychiatry GIPSI, Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Eduard Vieta
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - Annabel Vreeker
- Department of Child and Adolescent Psychiatry and Psychology, Erasmus University, Rotterdam, The Netherlands
| | - Lena Waltemate
- Department of Psychiatry, University of Münster, Münster, Germany
| | | | - Christopher R. K. Ching
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Ole Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Paul M. Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Tomas Hajek
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada.,National Institute of Mental Health, Klecany, Czech Republic
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14
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Montejo L, Torrent C, Jiménez E, Martínez-Arán A, Blumberg HP, Burdick KE, Chen P, Dols A, Eyler LT, Forester BP, Gatchel JR, Gildengers A, Kessing LV, Miskowiak KW, Olagunju AT, Patrick RE, Schouws S, Radua J, Bonnín CDM, Vieta E. Cognition in older adults with bipolar disorder: An ISBD task force systematic review and meta-analysis based on a comprehensive neuropsychological assessment. Bipolar Disord 2022; 24:115-136. [PMID: 34978124 DOI: 10.1111/bdi.13175] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
OBJECTIVES We aim to characterize the cognitive performance in euthymic older adults with bipolar disorder (OABD) through a comprehensive neuropsychological assessment to obtain a detailed neuropsychological profile. METHODS We conducted a systematic search in MEDLINE/Pubmed, Cochrane, and PsycInfo databases. Original studies assessing cognitive function in OABD (age ≥50 years ) containing, at a minimum, the domains of attention/processing speed, memory, and executive functions were included. A random-effects meta-analysis was conducted to summarize differences between patients and matched controls in each cognitive domain. We also conducted meta-regressions to estimate the impact of clinical and socio-demographic variables on these differences. RESULTS Eight articles, providing data for 328 euthymic OABD patients and 302 healthy controls, were included in the meta-analysis. OABD showed worse performance in comparison with healthy controls, with large significant effect sizes (Hedge's g from -0.77 to -0.89; p < 0.001) in verbal learning and verbal and visual delayed memory. They also displayed statistically significant deficits, with moderate effect size, in processing speed, working memory, immediate memory, cognitive flexibility, verbal fluency, psychomotor function, executive functions, attention, inhibition, and recognition (Hedge's g from -0.52 to -0.76; p < 0.001), but not in language and visuoconstruction domains. None of the examined variables were associated with these deficits. CONCLUSIONS Cognitive dysfunction is present in OABD, with important deficits in almost all cognitive domains, especially in the memory domain. Our results highlight the importance of including a routine complete neuropsychological assessment in OABD and also considering therapeutic strategies in OABD.
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Affiliation(s)
- Laura Montejo
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic of Barcelona, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Catalonia, Spain
| | - Carla Torrent
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic of Barcelona, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Catalonia, Spain
| | - Esther Jiménez
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic of Barcelona, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Catalonia, Spain
| | - Anabel Martínez-Arán
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic of Barcelona, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Catalonia, Spain
| | - Hilary P Blumberg
- Mood Disorders Research Program, Yale School of Medicine, New Haven, Connecticut, USA
| | - Katherine E Burdick
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Peijun Chen
- Section of Geriatric Psychiatry, Department of Psychiatry & VISN10 Geriatric Research, Education and Clinical Center, VA Northeast Ohio Healthcare System Cleveland VA Medical Center, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - Annemieke Dols
- GGZ inGeest, Department of Psychiatry, Amsterdam UMC, location VU Medical Center, Amsterdam Neuroscience, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Lisa T Eyler
- Department of Psychiatry, University of California, San Diego, California, USA
- Desert-Pacific Mental Illness Research, Education and Clinical Center, VA San Diego Healthcare System, San Diego, California, USA
| | - Brent P Forester
- Division of Geriatric Psychiatry, McLean Hospital, Belmont, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Jennifer R Gatchel
- Division of Geriatric Psychiatry, McLean Hospital, Belmont, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Ariel Gildengers
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Lars V Kessing
- Copenhagen Affective Disorder research Center (CADIC), Psychiatric Center Copenhagen, Copenhagen, Denmark
| | - Kamilla W Miskowiak
- Copenhagen Affective Disorder research Center (CADIC), Psychiatric Center Copenhagen, Copenhagen, Denmark
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Andrew T Olagunju
- Department of Psychiatry and Behavioral Neurosciences, McMaster University/St Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
| | - Regan E Patrick
- Division of Geriatric Psychiatry, McLean Hospital, Belmont, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Sigfried Schouws
- GGZ inGeest, Department of Psychiatry, Amsterdam UMC, location VU Medical Center, Amsterdam Neuroscience, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Joaquim Radua
- Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- CIBERSAM, Madrid, Spain
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Clinical Neuroscience, Stockholm Health Care Services, Stockholm County Council, Karolinska Institutet, Stockholm, Sweden
| | - Caterina Del M Bonnín
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic of Barcelona, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Catalonia, Spain
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic of Barcelona, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Catalonia, Spain
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15
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Abstract
BACKGROUND To date, besides genome-wide association studies, a variety of other genetic analyses (e.g. polygenic risk scores, whole-exome sequencing and whole-genome sequencing) have been conducted, and a large amount of data has been gathered for investigating the involvement of common, rare and very rare types of DNA sequence variants in bipolar disorder. Also, non-invasive neuroimaging methods can be used to quantify changes in brain structure and function in patients with bipolar disorder. AIMS To provide a comprehensive assessment of genetic findings associated with bipolar disorder, based on the evaluation of different genomic approaches and neuroimaging studies. METHOD We conducted a PubMed search of all relevant literatures from the beginning to the present, by querying related search strings. RESULTS ANK3, CACNA1C, SYNE1, ODZ4 and TRANK1 are five genes that have been replicated as key gene candidates in bipolar disorder pathophysiology, through the investigated studies. The percentage of phenotypic variance explained by the identified variants is small (approximately 4.7%). Bipolar disorder polygenic risk scores are associated with other psychiatric phenotypes. The ENIGMA-BD studies show a replicable pattern of lower cortical thickness, altered white matter integrity and smaller subcortical volumes in bipolar disorder. CONCLUSIONS The low amount of explained phenotypic variance highlights the need for further large-scale investigations, especially among non-European populations, to achieve a more complete understanding of the genetic architecture of bipolar disorder and the missing heritability. Combining neuroimaging data with genetic data in large-scale studies might help researchers acquire a better knowledge of the engaged brain regions in bipolar disorder.
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Affiliation(s)
- Mojtaba Oraki Kohshour
- Institute of Psychiatric Phenomics and Genomics, University Hospital LMU Munich, Germany; and Department of Immunology, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Iran
| | - Sergi Papiol
- Institute of Psychiatric Phenomics and Genomics, University Hospital LMU Munich, Germany; and Department of Psychiatry and Psychotherapy, University Hospital LMU Munich, Germany
| | - Christopher R K Ching
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, USA
| | - Thomas G Schulze
- Institute of Psychiatric Phenomics and Genomics, University Hospital LMU Munich, Germany; and Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, USA
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16
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Ching CRK, Hibar DP, Gurholt TP, Nunes A, Thomopoulos SI, Abé C, Agartz I, Brouwer RM, Cannon DM, de Zwarte SMC, Eyler LT, Favre P, Hajek T, Haukvik UK, Houenou J, Landén M, Lett TA, McDonald C, Nabulsi L, Patel Y, Pauling ME, Paus T, Radua J, Soeiro‐de‐Souza MG, Tronchin G, van Haren NEM, Vieta E, Walter H, Zeng L, Alda M, Almeida J, Alnæs D, Alonso‐Lana S, Altimus C, Bauer M, Baune BT, Bearden CE, Bellani M, Benedetti F, Berk M, Bilderbeck AC, Blumberg HP, Bøen E, Bollettini I, del Mar Bonnin C, Brambilla P, Canales‐Rodríguez EJ, Caseras X, Dandash O, Dannlowski U, Delvecchio G, Díaz‐Zuluaga AM, Dima D, Duchesnay É, Elvsåshagen T, Fears SC, Frangou S, Fullerton JM, Glahn DC, Goikolea JM, Green MJ, Grotegerd D, Gruber O, Haarman BCM, Henry C, Howells FM, Ives‐Deliperi V, Jansen A, Kircher TTJ, Knöchel C, Kramer B, Lafer B, López‐Jaramillo C, Machado‐Vieira R, MacIntosh BJ, Melloni EMT, Mitchell PB, Nenadic I, Nery F, Nugent AC, Oertel V, Ophoff RA, Ota M, Overs BJ, Pham DL, Phillips ML, Pineda‐Zapata JA, Poletti S, Polosan M, Pomarol‐Clotet E, Pouchon A, Quidé Y, Rive MM, Roberts G, Ruhe HG, Salvador R, Sarró S, Satterthwaite TD, Schene AH, Sim K, Soares JC, Stäblein M, Stein DJ, Tamnes CK, Thomaidis GV, Upegui CV, Veltman DJ, Wessa M, Westlye LT, Whalley HC, Wolf DH, Wu M, Yatham LN, Zarate CA, Thompson PM, Andreassen OA. What we learn about bipolar disorder from large-scale neuroimaging: Findings and future directions from the ENIGMA Bipolar Disorder Working Group. Hum Brain Mapp 2022; 43:56-82. [PMID: 32725849 PMCID: PMC8675426 DOI: 10.1002/hbm.25098] [Citation(s) in RCA: 61] [Impact Index Per Article: 30.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 05/31/2020] [Accepted: 06/04/2020] [Indexed: 12/17/2022] Open
Abstract
MRI-derived brain measures offer a link between genes, the environment and behavior and have been widely studied in bipolar disorder (BD). However, many neuroimaging studies of BD have been underpowered, leading to varied results and uncertainty regarding effects. The Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) Bipolar Disorder Working Group was formed in 2012 to empower discoveries, generate consensus findings and inform future hypothesis-driven studies of BD. Through this effort, over 150 researchers from 20 countries and 55 institutions pool data and resources to produce the largest neuroimaging studies of BD ever conducted. The ENIGMA Bipolar Disorder Working Group applies standardized processing and analysis techniques to empower large-scale meta- and mega-analyses of multimodal brain MRI and improve the replicability of studies relating brain variation to clinical and genetic data. Initial BD Working Group studies reveal widespread patterns of lower cortical thickness, subcortical volume and disrupted white matter integrity associated with BD. Findings also include mapping brain alterations of common medications like lithium, symptom patterns and clinical risk profiles and have provided further insights into the pathophysiological mechanisms of BD. Here we discuss key findings from the BD working group, its ongoing projects and future directions for large-scale, collaborative studies of mental illness.
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Affiliation(s)
- Christopher R. K. Ching
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | | | - Tiril P. Gurholt
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of OsloOsloNorway
- Division of Mental Health and Addicition, Oslo University HospitalOsloNorway
| | - Abraham Nunes
- Department of PsychiatryDalhousie UniversityHalifaxNova ScotiaCanada
- Faculty of Computer ScienceDalhousie UniversityHalifaxNova ScotiaCanada
| | - Sophia I. Thomopoulos
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Christoph Abé
- Faculty of Computer ScienceDalhousie UniversityHalifaxNova ScotiaCanada
- Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden
| | - Ingrid Agartz
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
- Center for Psychiatric Research, Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden
| | - Rachel M. Brouwer
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Dara M. Cannon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health SciencesNational University of Ireland GalwayGalwayIreland
| | - Sonja M. C. de Zwarte
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Lisa T. Eyler
- Department of PsychiatryUniversity of CaliforniaLa JollaCaliforniaUSA
- Desert‐Pacific MIRECCVA San Diego HealthcareSan DiegoCaliforniaUSA
| | - Pauline Favre
- INSERM U955, team 15 “Translational Neuro‐Psychiatry”CréteilFrance
- Neurospin, CEA Paris‐Saclay, team UNIACTGif‐sur‐YvetteFrance
| | - Tomas Hajek
- Division of Mental Health and Addicition, Oslo University HospitalOsloNorway
- National Institute of Mental HealthKlecanyCzech Republic
| | - Unn K. Haukvik
- Division of Mental Health and Addicition, Oslo University HospitalOsloNorway
- Norwegian Centre for Mental Disorders Research (NORMENT)Oslo University HospitalOsloNorway
| | - Josselin Houenou
- INSERM U955, team 15 “Translational Neuro‐Psychiatry”CréteilFrance
- Neurospin, CEA Paris‐Saclay, team UNIACTGif‐sur‐YvetteFrance
- APHPMondor University Hospitals, DMU IMPACTCréteilFrance
| | - Mikael Landén
- Department of Neuroscience and PhysiologyUniversity of GothenburgGothenburgSweden
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
| | - Tristram A. Lett
- Department for Psychiatry and PsychotherapyCharité Universitätsmedizin BerlinBerlinGermany
- Department of Neurology with Experimental NeurologyCharité Universitätsmedizin BerlinBerlinGermany
| | - Colm McDonald
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Leila Nabulsi
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Yash Patel
- Bloorview Research InstituteHolland Bloorview Kids Rehabilitation HospitalTorontoOntarioCanada
| | - Melissa E. Pauling
- Desert‐Pacific MIRECCVA San Diego HealthcareSan DiegoCaliforniaUSA
- INSERM U955, team 15 “Translational Neuro‐Psychiatry”CréteilFrance
| | - Tomas Paus
- Bloorview Research InstituteHolland Bloorview Kids Rehabilitation HospitalTorontoOntarioCanada
- Departments of Psychology and PsychiatryUniversity of TorontoTorontoOntarioCanada
| | - Joaquim Radua
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)BarcelonaSpain
- Early Psychosis: Interventions and Clinical‐detection (EPIC) lab, Department of Psychosis StudiesInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUK
- Stockholm Health Care ServicesStockholm County CouncilStockholmSweden
| | - Marcio G. Soeiro‐de‐Souza
- Mood Disorders Unit (GRUDA), Hospital das Clinicas HCFMUSP, Faculdade de MedicinaUniversidade de São PauloSão PauloSPBrazil
| | - Giulia Tronchin
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Neeltje E. M. van Haren
- Department of Child and Adolescent Psychiatry/PsychologyErasmus Medical CenterRotterdamThe Netherlands
| | - Eduard Vieta
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)BarcelonaSpain
- Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of NeurosciencesUniversity of BarcelonaBarcelonaSpain
| | - Henrik Walter
- Department for Psychiatry and PsychotherapyCharité Universitätsmedizin BerlinBerlinGermany
| | - Ling‐Li Zeng
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
- College of Intelligence Science and TechnologyNational University of Defense TechnologyChangshaChina
| | - Martin Alda
- Division of Mental Health and Addicition, Oslo University HospitalOsloNorway
| | - Jorge Almeida
- Dell Medical SchoolThe University of Texas at AustinAustinTexasUSA
| | - Dag Alnæs
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of OsloOsloNorway
| | - Silvia Alonso‐Lana
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- CIBERSAMMadridSpain
| | - Cara Altimus
- Milken Institute Center for Strategic PhilanthropyWashingtonDistrict of ColumbiaUSA
| | - Michael Bauer
- Department of Psychiatry and Psychotherapy, Medical FacultyTechnische Universität DresdenDresdenGermany
| | - Bernhard T. Baune
- Department of PsychiatryUniversity of MünsterMünsterGermany
- Department of PsychiatryThe University of MelbourneMelbourneVictoriaAustralia
- The Florey Institute of Neuroscience and Mental HealthThe University of MelbourneMelbourneVictoriaAustralia
| | - Carrie E. Bearden
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human BehaviorUniversity of CaliforniaLos AngelesCaliforniaUSA
- Department of PsychologyUniversity of CaliforniaLos AngelesCaliforniaUSA
| | - Marcella Bellani
- Section of Psychiatry, Department of Neurosciences, Biomedicine and Movement SciencesUniversity of VeronaVeronaItaly
| | - Francesco Benedetti
- Vita‐Salute San Raffaele UniversityMilanItaly
- Division of Neuroscience, Psychiatry and Psychobiology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
| | - Michael Berk
- Department of Pathophysiology and TransplantationUniversity of MilanMilanItaly
- IMPACT Institute – The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon HealthDeakin UniversityGeelongVictoriaAustralia
| | - Amy C. Bilderbeck
- The National Centre of Excellence in Youth Mental Health, Centre for Youth Mental Health, Florey Institute for Neuroscience and Mental Health and the Department of Psychiatry, The University of MelbourneOrygenMelbourneVictoriaAustralia
- P1vital LtdWallingfordUK
| | | | - Erlend Bøen
- Mood Disorders Research ProgramYale School of MedicineNew HavenConnecticutUSA
| | - Irene Bollettini
- Division of Neuroscience, Psychiatry and Psychobiology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
| | - Caterina del Mar Bonnin
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)BarcelonaSpain
- Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of NeurosciencesUniversity of BarcelonaBarcelonaSpain
| | - Paolo Brambilla
- Psychosomatic and CL PsychiatryOslo University HospitalOsloNorway
- Department of Neurosciences and Mental HealthFondazione IRCCS Ca' Granda Ospedale Maggiore PoliclinicoMilanItaly
| | - Erick J. Canales‐Rodríguez
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- CIBERSAMMadridSpain
- Department of RadiologyCentre Hospitalier Universitaire Vaudois (CHUV)LausanneSwitzerland
- Signal Processing Lab (LTS5), École Polytechnique Fédérale de LausanneLausanneSwitzerland
| | - Xavier Caseras
- MRC Centre for Neuropsychiatric Genetics and GenomicsCardiff UniversityCardiffUK
| | - Orwa Dandash
- Melbourne Neuropsychiatry Centre, Department of PsychiatryUniversity of Melbourne and Melbourne HealthMelbourneVictoriaAustralia
- Brain, Mind and Society Research Hub, Turner Institute for Brain and Mental Health, School of Psychological SciencesMonash UniversityClaytonVictoriaAustralia
| | - Udo Dannlowski
- Department of PsychiatryUniversity of MünsterMünsterGermany
| | | | - Ana M. Díaz‐Zuluaga
- Research Group in Psychiatry GIPSI, Department of PsychiatryFaculty of Medicine, Universidad de AntioquiaMedellínColombia
| | - Danai Dima
- Department of Psychology, School of Social Sciences and ArtsCity, University of LondonLondonUK
- Department of Neuroimaging, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
| | | | - Torbjørn Elvsåshagen
- Norwegian Centre for Mental Disorders Research (NORMENT)Oslo University HospitalOsloNorway
- Department of NeurologyOslo University HospitalOsloNorway
- Institute of Clinical MedicineUniversity of OsloOsloNorway
| | - Scott C. Fears
- Center for Neurobehavioral GeneticsLos AngelesCaliforniaUSA
- Greater Los Angeles Veterans AdministrationLos AngelesCaliforniaUSA
| | - Sophia Frangou
- Centre for Brain HealthUniversity of British ColumbiaVancouverBritish ColumbiaCanada
- Department of PsychiatryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Janice M. Fullerton
- Neuroscience Research AustraliaRandwickNew South WalesAustralia
- School of Medical SciencesUniversity of New South WalesSydneyNew South WalesAustralia
| | - David C. Glahn
- Department of PsychiatryBoston Children's Hospital and Harvard Medical SchoolBostonMassachusettsUSA
| | - Jose M. Goikolea
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)BarcelonaSpain
- Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of NeurosciencesUniversity of BarcelonaBarcelonaSpain
| | - Melissa J. Green
- Neuroscience Research AustraliaRandwickNew South WalesAustralia
- School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
| | | | - Oliver Gruber
- Department of General PsychiatryHeidelberg UniversityHeidelbergGermany
| | - Bartholomeus C. M. Haarman
- Department of Psychiatry, University Medical Center GroningenUniversity of GroningenGroningenThe Netherlands
| | - Chantal Henry
- Department of PsychiatryService Hospitalo‐Universitaire, GHU Paris Psychiatrie & NeurosciencesParisFrance
- Université de ParisParisFrance
| | - Fleur M. Howells
- Neuroscience InstituteUniversity of Cape TownCape TownSouth Africa
- Department of Psychiatry and Mental HealthUniversity of Cape TownCape TownSouth Africa
| | | | - Andreas Jansen
- Core‐Facility Brainimaging, Faculty of MedicineUniversity of MarburgMarburgGermany
- Department of Psychiatry and PsychotherapyPhilipps‐University MarburgMarburgGermany
| | - Tilo T. J. Kircher
- Department of Psychiatry and PsychotherapyPhilipps‐University MarburgMarburgGermany
| | - Christian Knöchel
- Department of Psychiatry, Psychosomatic Medicine and PsychotherapyGoethe University FrankfurtFrankfurtGermany
| | - Bernd Kramer
- Department of General PsychiatryHeidelberg UniversityHeidelbergGermany
| | - Beny Lafer
- Laboratory of Psychiatric Neuroimaging (LIM‐21), Departamento e Instituto de PsiquiatriaHospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São PauloSão PauloSPBrazil
| | - Carlos López‐Jaramillo
- Research Group in Psychiatry GIPSI, Department of PsychiatryFaculty of Medicine, Universidad de AntioquiaMedellínColombia
- Mood Disorders ProgramHospital Universitario Trastorno del ÁnimoMedellínColombia
| | - Rodrigo Machado‐Vieira
- Experimental Therapeutics and Molecular Pathophysiology Program, Department of PsychiatryUTHealth, University of TexasHoustonTexasUSA
| | - Bradley J. MacIntosh
- Hurvitz Brain SciencesSunnybrook Research InstituteTorontoOntarioCanada
- Department of Medical BiophysicsUniversity of TorontoTorontoOntarioCanada
| | - Elisa M. T. Melloni
- Vita‐Salute San Raffaele UniversityMilanItaly
- Division of Neuroscience, Psychiatry and Psychobiology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
| | - Philip B. Mitchell
- School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
| | - Igor Nenadic
- Department of Psychiatry and PsychotherapyPhilipps‐University MarburgMarburgGermany
| | - Fabiano Nery
- University of CincinnatiCincinnatiOhioUSA
- Universidade de São PauloSão PauloSPBrazil
| | | | - Viola Oertel
- Department of Psychiatry, Psychosomatic Medicine and PsychotherapyGoethe University FrankfurtFrankfurtGermany
| | - Roel A. Ophoff
- UCLA Center for Neurobehavioral GeneticsLos AngelesCaliforniaUSA
- Department of PsychiatryErasmus Medical Center, Erasmus UniversityRotterdamThe Netherlands
| | - Miho Ota
- Department of Mental Disorder ResearchNational Institute of Neuroscience, National Center of Neurology and PsychiatryTokyoJapan
| | | | - Daniel L. Pham
- Milken Institute Center for Strategic PhilanthropyWashingtonDistrict of ColumbiaUSA
| | - Mary L. Phillips
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | | | - Sara Poletti
- Vita‐Salute San Raffaele UniversityMilanItaly
- Division of Neuroscience, Psychiatry and Psychobiology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
| | - Mircea Polosan
- University of Grenoble AlpesCHU Grenoble AlpesGrenobleFrance
- INSERM U1216 ‐ Grenoble Institut des NeurosciencesLa TroncheFrance
| | - Edith Pomarol‐Clotet
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- CIBERSAMMadridSpain
| | - Arnaud Pouchon
- University of Grenoble AlpesCHU Grenoble AlpesGrenobleFrance
| | - Yann Quidé
- Neuroscience Research AustraliaRandwickNew South WalesAustralia
- School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
| | - Maria M. Rive
- Department of PsychiatryAmsterdam UMC, location AMCAmsterdamThe Netherlands
| | - Gloria Roberts
- School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
| | - Henricus G. Ruhe
- Department of PsychiatryRadboud University Medical CenterNijmegenThe Netherlands
- Donders Institute for Brain, Cognition and BehaviorRadboud UniversityNijmegenThe Netherlands
| | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- CIBERSAMMadridSpain
| | - Salvador Sarró
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- CIBERSAMMadridSpain
| | - Theodore D. Satterthwaite
- Department of PsychiatryUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUSA
| | - Aart H. Schene
- Department of PsychiatryRadboud University Medical CenterNijmegenThe Netherlands
| | - Kang Sim
- West Region, Institute of Mental HealthSingaporeSingapore
- Yong Loo Lin School of MedicineNational University of SingaporeSingaporeSingapore
| | - Jair C. Soares
- Center of Excellent on Mood DisordersUTHealth HoustonHoustonTexasUSA
- Department of Psychiatry and Behavioral SciencesUTHealth HoustonHoustonTexasUSA
| | - Michael Stäblein
- Department of Psychiatry, Psychosomatic Medicine and PsychotherapyGoethe University FrankfurtFrankfurtGermany
| | - Dan J. Stein
- Neuroscience InstituteUniversity of Cape TownCape TownSouth Africa
- Department of Psychiatry and Mental HealthUniversity of Cape TownCape TownSouth Africa
- SAMRC Unit on Risk & Resilience in Mental DisordersUniversity of Cape TownCape TownSouth Africa
| | - Christian K. Tamnes
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
- PROMENTA Research Center, Department of PsychologyUniversity of OsloOsloNorway
| | - Georgios V. Thomaidis
- Papanikolaou General HospitalThessalonikiGreece
- Laboratory of Mechanics and MaterialsSchool of Engineering, Aristotle UniversityThessalonikiGreece
| | - Cristian Vargas Upegui
- Research Group in Psychiatry GIPSI, Department of PsychiatryFaculty of Medicine, Universidad de AntioquiaMedellínColombia
| | - Dick J. Veltman
- Department of PsychiatryAmsterdam UMCAmsterdamThe Netherlands
| | - Michèle Wessa
- Department of Neuropsychology and Clinical PsychologyJohannes Gutenberg‐University MainzMainzGermany
| | - Lars T. Westlye
- Department of PsychologyUniversity of OsloOsloNorway
- Norwegian Centre for Mental Disorders Research (NORMENT), Department of Mental Health and AddictionOslo University HospitalOsloNorway
| | | | - Daniel H. Wolf
- Department of PsychiatryUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUSA
| | - Mon‐Ju Wu
- Department of Psychiatry and Behavioral SciencesUTHealth HoustonHoustonTexasUSA
| | - Lakshmi N. Yatham
- Department of PsychiatryUniversity of British ColumbiaVancouverBritish ColumbiaCanada
| | - Carlos A. Zarate
- Chief Experimental Therapeutics & Pathophysiology BranchBethesdaMarylandUSA
- Intramural Research ProgramNational Institute of Mental HealthBethesdaMarylandUSA
| | - Paul M. Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Ole A. Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of OsloOsloNorway
- Division of Mental Health and Addicition, Oslo University HospitalOsloNorway
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17
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Brosch K, Stein F, Schmitt S, Pfarr JK, Ringwald KG, Thomas-Odenthal F, Meller T, Steinsträter O, Waltemate L, Lemke H, Meinert S, Winter A, Breuer F, Thiel K, Grotegerd D, Hahn T, Jansen A, Dannlowski U, Krug A, Nenadić I, Kircher T. Reduced hippocampal gray matter volume is a common feature of patients with major depression, bipolar disorder, and schizophrenia spectrum disorders. Mol Psychiatry 2022; 27:4234-4243. [PMID: 35840798 PMCID: PMC9718668 DOI: 10.1038/s41380-022-01687-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 06/22/2022] [Accepted: 06/27/2022] [Indexed: 02/07/2023]
Abstract
Major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia spectrum disorder (SSD, schizophrenia, and schizoaffective disorder) overlap in symptomatology, risk factors, genetics, and other biological measures. Based on previous findings, it remains unclear what transdiagnostic regional gray matter volume (GMV) alterations exist across these disorders, and with which factors they are associated. GMV (3-T magnetic resonance imaging) was compared between healthy controls (HC; n = 110), DSM-IV-TR diagnosed MDD (n = 110), BD (n = 110), and SSD patients (n = 110), matched for age and sex. We applied a conjunction analysis to identify shared GMV alterations across the disorders. To identify potential origins of identified GMV clusters, we associated them with early and current risk and protective factors, psychopathology, and neuropsychology, applying multiple regression models. Common to all diagnoses (vs. HC), we identified GMV reductions in the left hippocampus. This cluster was associated with the neuropsychology factor working memory/executive functioning, stressful life events, and with global assessment of functioning. Differential effects between groups were present in the left and right frontal operculae and left insula, with volume variances across groups highly overlapping. Our study is the first with a large, matched, transdiagnostic sample to yield shared GMV alterations in the left hippocampus across major mental disorders. The hippocampus is a major network hub, orchestrating a range of mental functions. Our findings underscore the need for a novel stratification of mental disorders, other than categorical diagnoses.
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Affiliation(s)
- Katharina Brosch
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany. .,Center for Mind, Brain and Behavior (CMBB), Marburg, Germany.
| | - Frederike Stein
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany ,grid.513205.0Center for Mind, Brain and Behavior (CMBB), Marburg, Germany
| | - Simon Schmitt
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany ,grid.513205.0Center for Mind, Brain and Behavior (CMBB), Marburg, Germany ,grid.10423.340000 0000 9529 9877Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Julia-Katharina Pfarr
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany ,grid.513205.0Center for Mind, Brain and Behavior (CMBB), Marburg, Germany
| | - Kai G. Ringwald
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany ,grid.513205.0Center for Mind, Brain and Behavior (CMBB), Marburg, Germany
| | - Florian Thomas-Odenthal
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany ,grid.513205.0Center for Mind, Brain and Behavior (CMBB), Marburg, Germany
| | - Tina Meller
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany ,grid.513205.0Center for Mind, Brain and Behavior (CMBB), Marburg, Germany
| | - Olaf Steinsträter
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany ,grid.10253.350000 0004 1936 9756Core-Facility BrainImaging, Faculty of Medicine, Philipps-University Marburg, Marburg, Germany
| | - Lena Waltemate
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Hannah Lemke
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Susanne Meinert
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany ,grid.5949.10000 0001 2172 9288Institute for Translational Neuroscience, University of Münster, Münster, Germany
| | - Alexandra Winter
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Fabian Breuer
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Katharina Thiel
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Dominik Grotegerd
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Tim Hahn
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Andreas Jansen
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany ,grid.513205.0Center for Mind, Brain and Behavior (CMBB), Marburg, Germany ,grid.10253.350000 0004 1936 9756Core-Facility BrainImaging, Faculty of Medicine, Philipps-University Marburg, Marburg, Germany
| | - Udo Dannlowski
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Axel Krug
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany ,grid.10388.320000 0001 2240 3300Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Igor Nenadić
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany ,grid.513205.0Center for Mind, Brain and Behavior (CMBB), Marburg, Germany
| | - Tilo Kircher
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany ,grid.513205.0Center for Mind, Brain and Behavior (CMBB), Marburg, Germany
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18
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McWhinney SR, Abé C, Alda M, Benedetti F, Bøen E, Del Mar Bonnin C, Borgers T, Brosch K, Canales-Rodríguez EJ, Cannon DM, Dannlowski U, Díaz-Zuluaga AM, Elvsåshagen T, Eyler LT, Fullerton JM, Goikolea JM, Goltermann J, Grotegerd D, Haarman BCM, Hahn T, Howells FM, Ingvar M, Kircher TTJ, Krug A, Kuplicki RT, Landén M, Lemke H, Liberg B, Lopez-Jaramillo C, Malt UF, Martyn FM, Mazza E, McDonald C, McPhilemy G, Meier S, Meinert S, Meller T, Melloni EMT, Mitchell PB, Nabulsi L, Nenadic I, Opel N, Ophoff RA, Overs BJ, Pfarr JK, Pineda-Zapata JA, Pomarol-Clotet E, Raduà J, Repple J, Richter M, Ringwald KG, Roberts G, Salvador R, Savitz J, Schmitt S, Schofield PR, Sim K, Stein DJ, Stein F, Temmingh HS, Thiel K, van Haren NEM, Gestel HV, Vargas C, Vieta E, Vreeker A, Waltemate L, Yatham LN, Ching CRK, Andreassen O, Thompson PM, Hajek T. Association between body mass index and subcortical brain volumes in bipolar disorders-ENIGMA study in 2735 individuals. Mol Psychiatry 2021; 26:6806-6819. [PMID: 33863996 PMCID: PMC8760047 DOI: 10.1038/s41380-021-01098-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 02/26/2021] [Accepted: 04/01/2021] [Indexed: 12/27/2022]
Abstract
Individuals with bipolar disorders (BD) frequently suffer from obesity, which is often associated with neurostructural alterations. Yet, the effects of obesity on brain structure in BD are under-researched. We obtained MRI-derived brain subcortical volumes and body mass index (BMI) from 1134 BD and 1601 control individuals from 17 independent research sites within the ENIGMA-BD Working Group. We jointly modeled the effects of BD and BMI on subcortical volumes using mixed-effects modeling and tested for mediation of group differences by obesity using nonparametric bootstrapping. All models controlled for age, sex, hemisphere, total intracranial volume, and data collection site. Relative to controls, individuals with BD had significantly higher BMI, larger lateral ventricular volume, and smaller volumes of amygdala, hippocampus, pallidum, caudate, and thalamus. BMI was positively associated with ventricular and amygdala and negatively with pallidal volumes. When analyzed jointly, both BD and BMI remained associated with volumes of lateral ventricles and amygdala. Adjusting for BMI decreased the BD vs control differences in ventricular volume. Specifically, 18.41% of the association between BD and ventricular volume was mediated by BMI (Z = 2.73, p = 0.006). BMI was associated with similar regional brain volumes as BD, including lateral ventricles, amygdala, and pallidum. Higher BMI may in part account for larger ventricles, one of the most replicated findings in BD. Comorbidity with obesity could explain why neurostructural alterations are more pronounced in some individuals with BD. Future prospective brain imaging studies should investigate whether obesity could be a modifiable risk factor for neuroprogression.
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Affiliation(s)
- Sean R McWhinney
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Christoph Abé
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Martin Alda
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Francesco Benedetti
- Vita-Salute San Raffaele University, Milan, Italy
- Division of Neuroscience, Psychiatry and Psychobiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Erlend Bøen
- Unit for Psychosomatics / CL Outpatient Clinic for Adults, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Caterina Del Mar Bonnin
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | - Tiana Borgers
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | | | - Dara M Cannon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Ana M Díaz-Zuluaga
- Research Group in Psychiatry GIPSI, Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Torbjørn Elvsåshagen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Neurology, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Lisa T Eyler
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
- Desert-Pacific MIRECC, VA San Diego Healthcare, San Diego, CA, USA
| | - Janice M Fullerton
- Neuroscience Research Australia, Randwick, NSW, Australia
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Jose M Goikolea
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | - Janik Goltermann
- Department of Psychiatry, University of Münster, Münster, Germany
| | | | - Bartholomeus C M Haarman
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Tim Hahn
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Fleur M Howells
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Martin Ingvar
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Tilo T J Kircher
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Axel Krug
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | | | - Mikael Landén
- Department of Neuroscience and Physiology, Sahlgrenska Academy at Gothenburg University, Gothenburg, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Hannah Lemke
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Benny Liberg
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Carlos Lopez-Jaramillo
- Research Group in Psychiatry GIPSI, Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Ulrik F Malt
- Unit for Psychosomatics / CL Outpatient Clinic for Adults, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, Department of Neurology, University of Oslo, Oslo, Norway
| | - Fiona M Martyn
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Elena Mazza
- Vita-Salute San Raffaele University, Milan, Italy
- Division of Neuroscience, Psychiatry and Psychobiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Colm McDonald
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Genevieve McPhilemy
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Sandra Meier
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Susanne Meinert
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Tina Meller
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
| | - Elisa M T Melloni
- Vita-Salute San Raffaele University, Milan, Italy
- Division of Neuroscience, Psychiatry and Psychobiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Philip B Mitchell
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Leila Nabulsi
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Igor Nenadic
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Nils Opel
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Roel A Ophoff
- UCLA Center for Neurobehavioral Genetics, Los Angeles, CA, USA
- Department of Psychiatry, Erasmus University Medical Center, Rotterdam, The Netherlands
| | | | - Julia-Katharina Pfarr
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Julian A Pineda-Zapata
- Research Group, Instituto de Alta Tecnología Médica, Ayudas diagnósticas SURA, Medellín, Colombia
| | | | - Joaquim Raduà
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, Barcelona, Spain
- Institute of Psychiartry, King's College Londen, London, UK
| | - Jonathan Repple
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Maike Richter
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Kai G Ringwald
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Gloria Roberts
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
| | - Jonathan Savitz
- Laureate Institute for Brain Research, Tulsa, OK, USA
- Oxley College of Health Sciences, The University of Tulsa, Tulsa, OK, USA
| | - Simon Schmitt
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Peter R Schofield
- Neuroscience Research Australia, Randwick, NSW, Australia
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Kang Sim
- West Region, Institute of Mental Health, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Dan J Stein
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
- South African MRC Unit on Risk & Resilience in Mental Disorders, University of Cape Town, Cape Town, South Africa
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Henk S Temmingh
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Katharina Thiel
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Neeltje E M van Haren
- Department of Child and Adolescent Psychiatry and Psychology, Erasmus University, Rotterdam, The Netherlands
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Holly Van Gestel
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Cristian Vargas
- Research Group in Psychiatry GIPSI, Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Eduard Vieta
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | - Annabel Vreeker
- Department of Child and Adolescent Psychiatry and Psychology, Erasmus University, Rotterdam, The Netherlands
| | - Lena Waltemate
- Department of Psychiatry, University of Münster, Münster, Germany
| | | | - Christopher R K Ching
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Ole Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Tomas Hajek
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada.
- National Institute of Mental Health, Klecany, Czech Republic.
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19
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Lithium treatment and human hippocampal neurogenesis. Transl Psychiatry 2021; 11:555. [PMID: 34718328 PMCID: PMC8557207 DOI: 10.1038/s41398-021-01695-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 10/19/2021] [Accepted: 10/21/2021] [Indexed: 12/23/2022] Open
Abstract
Lithium is a first-line treatment for bipolar disorder, where it acts as a mood-stabilizing agent. Although its precise mechanism remains unclear, neuroimaging studies have shown that lithium accumulates in the hippocampus and that chronic use amongst bipolar disorder patients is associated with larger hippocampal volumes. Here, we tested the chronic effects of low (0.75 mM) and high (2.25 mM) doses of lithium on human hippocampal progenitor cells and used immunocytochemistry to investigate the effects of lithium on cell parameters implicated in neurogenesis. Corresponding RNA-sequencing and gene-set enrichment analyses were used to evaluate whether genes affected by lithium in our model overlap with those regulating the volume of specific layers of the dentate gyrus. We observed that high-dose lithium treatment in human hippocampal progenitors increased the generation of neuroblasts (P ≤ 0.01), neurons (P ≤ 0.01), and glia (P ≤ 0.001), alongside the expression of genes, which regulate the volume of the molecular layer of the dentate gyrus. This study provides empirical support that adult hippocampal neurogenesis and gliogenesis are mechanisms that could contribute to the effects of lithium on human hippocampal volume.
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20
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Zou Y, Kennedy KG, Grigorian A, Fiksenbaum L, Freeman N, Zai CC, Kennedy JL, MacIntosh BJ, Goldstein BI. Antioxidative Defense Genes and Brain Structure in Youth Bipolar Disorder. Int J Neuropsychopharmacol 2021; 25:89-98. [PMID: 34387669 PMCID: PMC8832218 DOI: 10.1093/ijnp/pyab056] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2021] [Revised: 06/27/2021] [Accepted: 08/20/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Oxidative stress is implicated in the neuropathology of bipolar disorder (BD). We investigated the association of single-nucleotide polymorphisms (SNPs) in the antioxidative genes superoxide dismutase 2 (SOD2) and glutathione peroxidase 3 (GPX3) with structural neuroimaging phenotypes in youth BD. METHODS SOD2 rs4880 and GPX3 rs3792797 SNP genotypes, along with structural magnetic resonance imaging, were obtained from 147 youth (BD = 75; healthy controls = 72). Images were processed using FreeSurfer, yielding surface area, volume, and thickness values for regions of interest (prefrontal cortex [PFC], caudal anterior cingulate cortex, hippocampus) and for vertex-wise whole-brain analysis. Analyses controlled for age, sex, race, and intracranial volume for volume, area, and thickness analyses. RESULT Regions of interest analyses revealed diagnosis-by-SOD2 rs4880 interaction effects for caudal anterior cingulate cortex volume and surface area as well as PFC volume; in each case, there was lower volume/area in the BD GG genotype group vs the healthy controls GG genotype group. There was a significant BD diagnosis × GPX3 rs3793797 interaction effect for PFC surface area, where area was lower in the BD A-allele carrier group vs the other genotype groups. Vertex-wise analyses revealed significant interaction effects in frontal, temporal, and parietal regions related to smaller brain structure in the BD SOD2 rs4880 GG group and BD GPX3 rs3793797 A-allele carrier group. CONCLUSION We found preliminary evidence that SOD2 rs4880 and GPX3 rs3792797 are differentially associated with brain structures in youth with BD in regions that are relevant to BD. Further studies incorporating additional neuroimaging phenotypes and blood levels of oxidative stress markers are warranted.
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Affiliation(s)
- Yi Zou
- Department of Pharmacology, University of Toronto, Toronto, ON, Canada,Correspondence: Benjamin I. Goldstein, MD, PhD, FRCPC, Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Centre for Addiction and Mental Health, 100 Stokes St, Toronto, ON M6J 1H4, Canada ()
| | - Kody G Kennedy
- Department of Pharmacology, University of Toronto, Toronto, ON, Canada
| | - Anahit Grigorian
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Lisa Fiksenbaum
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Natalie Freeman
- Psychiatric Neurogenetics Section, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Clement C Zai
- Psychiatric Neurogenetics Section, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - James L Kennedy
- Psychiatric Neurogenetics Section, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Bradley J MacIntosh
- Heart and Stroke Foundation, Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, Toronto, ON, Canada,Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada,Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Benjamin I Goldstein
- Department of Pharmacology, University of Toronto, Toronto, ON, Canada,Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
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21
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Athey TL, Ceritoglu C, Tward DJ, Kutten KS, DePaulo JR, Glazer K, Goes FS, Kelsoe JR, Mondimore F, Nievergelt CM, Rootes-Murdy K, Zandi PP, Ratnanather JT, Mahon PB. A 7 Tesla Amygdalar-Hippocampal Shape Analysis of Lithium Response in Bipolar Disorder. Front Psychiatry 2021; 12:614010. [PMID: 33664682 PMCID: PMC7920967 DOI: 10.3389/fpsyt.2021.614010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Accepted: 01/19/2021] [Indexed: 11/15/2022] Open
Abstract
Research to discover clinically useful predictors of lithium response in patients with bipolar disorder has largely found them to be elusive. We demonstrate here that detailed neuroimaging may have the potential to fill this important gap in mood disorder therapeutics. Lithium treatment and bipolar disorder have both been shown to affect anatomy of the hippocampi and amygdalae but there is no consensus on the nature of their effects. We aimed to investigate structural surface anatomy changes in amygdala and hippocampus correlated with treatment response in bipolar disorder. Patients with bipolar disorder (N = 14) underwent lithium treatment, were classified by response status at acute and long-term time points, and scanned with 7 Tesla structural MRI. Large Deformation Diffeomorphic Metric Mapping was applied to detect local differences in hippocampal and amygdalar anatomy between lithium responders and non-responders. Anatomy was also compared to 21 healthy comparison participants. A patch of the ventral surface of the left hippocampus was found to be significantly atrophied in non-responders as compared to responders at the acute time point and was associated at a trend-level with long-term response status. We did not detect an association between response status and surface anatomy of the right hippocampus or amygdala. To the best of our knowledge, this is the first shape analysis of hippocampus and amygdala in bipolar disorder using 7 Tesla MRI. These results can inform future work investigating possible neuroimaging predictors of lithium response in bipolar disorder.
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Affiliation(s)
- Thomas L Athey
- Center for Imaging Science, Johns Hopkins University, Baltimore, MD, United States.,Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, United States.,Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States
| | - Can Ceritoglu
- Center for Imaging Science, Johns Hopkins University, Baltimore, MD, United States
| | - Daniel J Tward
- Center for Imaging Science, Johns Hopkins University, Baltimore, MD, United States.,Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, United States.,Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States
| | - Kwame S Kutten
- Center for Imaging Science, Johns Hopkins University, Baltimore, MD, United States
| | - J Raymond DePaulo
- Department of Psychiatry and Behavioral Science, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Kara Glazer
- Department of Occupational Therapy, Boston University, Boston, MA, United States
| | - Fernando S Goes
- Department of Psychiatry and Behavioral Science, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - John R Kelsoe
- Department of Psychiatry, VA San Diego Healthcare System, La Jolla, CA, United States.,Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Francis Mondimore
- Department of Psychiatry and Behavioral Science, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Caroline M Nievergelt
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Kelly Rootes-Murdy
- Department of Psychology, Georgia State University, Atlanta, GA, United States
| | - Peter P Zandi
- Department of Psychiatry and Behavioral Science, Johns Hopkins School of Medicine, Baltimore, MD, United States.,Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - J Tilak Ratnanather
- Center for Imaging Science, Johns Hopkins University, Baltimore, MD, United States.,Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, United States.,Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States
| | - Pamela B Mahon
- Department of Psychiatry and Behavioral Science, Johns Hopkins School of Medicine, Baltimore, MD, United States.,Department of Psychiatry, Brigham & Women's Hospital, Boston, MA, United States.,Department of Psychiatry, Harvard School of Medicine, Boston, MA, United States
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22
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Li H, Cui L, Cao L, Zhang Y, Liu Y, Deng W, Zhou W. Identification of bipolar disorder using a combination of multimodality magnetic resonance imaging and machine learning techniques. BMC Psychiatry 2020; 20:488. [PMID: 33023515 PMCID: PMC7542439 DOI: 10.1186/s12888-020-02886-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Accepted: 09/21/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Bipolar disorder (BPD) is a common mood disorder that is often goes misdiagnosed or undiagnosed. Recently, machine learning techniques have been combined with neuroimaging methods to aid in the diagnosis of BPD. However, most studies have focused on the construction of classifiers based on single-modality MRI. Hence, in this study, we aimed to construct a support vector machine (SVM) model using a combination of structural and functional MRI, which could be used to accurately identify patients with BPD. METHODS In total, 44 patients with BPD and 36 healthy controls were enrolled in the study. Clinical evaluation and MRI scans were performed for each subject. Next, image pre-processing, VBM and ReHo analyses were performed. The ReHo values of each subject in the clusters showing significant differences were extracted. Further, LASSO approach was recruited to screen features. Based on selected features, the SVM model was established, and discriminant analysis was performed. RESULTS After using the two-sample t-test with multiple comparisons, a total of 8 clusters were extracted from the data (VBM = 6; ReHo = 2). Next, we used both VBM and ReHo data to construct the new SVM classifier, which could effectively identify patients with BPD at an accuracy of 87.5% (95%CI: 72.5-95.3%), sensitivity of 86.4% (95%CI: 64.0-96.4%), and specificity of 88.9% (95%CI: 63.9-98.0%) in the test data (p = 0.0022). CONCLUSIONS A combination of structural and functional MRI can be of added value in the construction of SVM classifiers to aid in the accurate identification of BPD in the clinic.
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Affiliation(s)
- Hao Li
- grid.412615.5Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China ,grid.484195.5Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, No.58 Zhongshan Road 2, Guangzhou, 510080 China
| | - Liqian Cui
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China. .,Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, No.58 Zhongshan Road 2, Guangzhou, 510080, China.
| | - Liping Cao
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou Huiai Hospital, Guangzhou, Guangdong, China.
| | - Yizhi Zhang
- grid.452505.30000 0004 1757 6882Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou Huiai Hospital, Guangzhou, Guangdong China
| | - Yueheng Liu
- grid.216417.70000 0001 0379 7164Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan China ,Chinese National Clinical Research Center on Mental Disorders (Xiangya), Changsha, Hunan China
| | - Wenhao Deng
- grid.452505.30000 0004 1757 6882Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou Huiai Hospital, Guangzhou, Guangdong China
| | - Wenjin Zhou
- grid.452505.30000 0004 1757 6882Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou Huiai Hospital, Guangzhou, Guangdong China
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23
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Mancuso L, Fornito A, Costa T, Ficco L, Liloia D, Manuello J, Duca S, Cauda F. A meta-analytic approach to mapping co-occurrent grey matter volume increases and decreases in psychiatric disorders. Neuroimage 2020; 222:117220. [PMID: 32777357 DOI: 10.1016/j.neuroimage.2020.117220] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Revised: 07/24/2020] [Accepted: 07/28/2020] [Indexed: 12/14/2022] Open
Abstract
Numerous studies have investigated grey matter (GM) volume changes in diverse patient groups. Reports of disorder-related GM reductions are common in such work, but many studies also report evidence for GM volume increases in patients. It is unclear whether these GM increases and decreases are independent or related in some way. Here, we address this question using a novel meta-analytic network mapping approach. We used a coordinate-based meta-analysis of 64 voxel-based morphometry studies of psychiatric disorders to calculate the probability of finding a GM increase or decrease in one region given an observed change in the opposite direction in another region. Estimating this co-occurrence probability for every pair of brain regions allowed us to build a network of concurrent GM changes of opposing polarity. Our analysis revealed that disorder-related GM increases and decreases are not independent; instead, a GM change in one area is often statistically related to a change of opposite polarity in other areas, highlighting distributed yet coordinated changes in GM volume as a function of brain pathology. Most regions showing GM changes linked to an opposite change in a distal area were located in salience, executive-control and default mode networks, as well as the thalamus and basal ganglia. Moreover, pairs of regions showing coupled changes of opposite polarity were more likely to belong to different canonical networks than to the same one. Our results suggest that regional GM alterations in psychiatric disorders are often accompanied by opposing changes in distal regions that belong to distinct functional networks.
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Affiliation(s)
- Lorenzo Mancuso
- FOCUS Lab, Department of Psychology, University of Turin, Turin, Italy; GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy
| | - Alex Fornito
- The Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University,Victoria, Australia; Monash Biomedical Imaging, Monash University,Victoria, Australia
| | - Tommaso Costa
- FOCUS Lab, Department of Psychology, University of Turin, Turin, Italy; GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.
| | - Linda Ficco
- FOCUS Lab, Department of Psychology, University of Turin, Turin, Italy; GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy
| | - Donato Liloia
- FOCUS Lab, Department of Psychology, University of Turin, Turin, Italy; GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy
| | - Jordi Manuello
- FOCUS Lab, Department of Psychology, University of Turin, Turin, Italy; GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy
| | - Sergio Duca
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy
| | - Franco Cauda
- FOCUS Lab, Department of Psychology, University of Turin, Turin, Italy; GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy
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24
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Stern S, Sarkar A, Stern T, Mei A, Mendes APD, Stern Y, Goldberg G, Galor D, Nguyen T, Randolph-Moore L, Kim Y, Rouleau G, Bang A, Alda M, Santos R, Marchetto MC, Gage FH. Mechanisms Underlying the Hyperexcitability of CA3 and Dentate Gyrus Hippocampal Neurons Derived From Patients With Bipolar Disorder. Biol Psychiatry 2020; 88:139-149. [PMID: 31732108 PMCID: PMC7108962 DOI: 10.1016/j.biopsych.2019.09.018] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Revised: 09/19/2019] [Accepted: 09/21/2019] [Indexed: 12/28/2022]
Abstract
BACKGROUND Approximately 1 in every 50 to 100 people is affected with bipolar disorder (BD), making this disease a major economic burden. The introduction of induced pluripotent stem cell methodology enabled better modeling of this disorder. METHODS Having previously studied the phenotype of dentate gyrus granule neurons, we turned our attention to studying the phenotype of CA3 hippocampal pyramidal neurons of 6 patients with BD compared with 4 control individuals. We used patch clamp and quantitative polymerase chain reaction to measure electrophysiological features and RNA expression by specific channel genes. RESULTS We found that BD CA3 neurons were hyperexcitable only when they were derived from patients who responded to lithium; they featured sustained activity with large current injections and a large, fast after-hyperpolarization, similar to what we previously reported in dentate gyrus neurons. The higher amplitudes and faster kinetics of fast potassium currents correlated with this hyperexcitability. Further supporting the involvement of potassium currents, we observed an overexpression of KCNC1 and KCNC2 in hippocampal neurons derived from lithium responders. Applying specific potassium channel blockers diminished the hyperexcitability. Long-term lithium treatment decreased the hyperexcitability observed in the CA3 neurons derived from lithium responders while increasing sodium currents and reducing fast potassium currents. When differentiating this cohort into spinal motor neurons, we did not observe any changes in the excitability of BD motor neurons compared with control motor neurons. CONCLUSIONS The hyperexcitability of BD neurons is neuronal type specific with the involvement of altered potassium currents that allow for a sustained, continued firing activity.
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Affiliation(s)
- Shani Stern
- Laboratory of Genetics, Salk Institute for Biological Studies, La Jolla, California; Sagol Department of Neurobiology, Faculty of Natural Sciences, University of Haifa, Haifa, Israel.
| | - Anindita Sarkar
- Laboratory of Genetics, Salk Institute for Biological
Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA
| | - Tchelet Stern
- Laboratory of Genetics, Salk Institute for Biological
Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA
| | - Arianna Mei
- Laboratory of Genetics, Salk Institute for Biological
Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA
| | - Ana P. D. Mendes
- Laboratory of Genetics, Salk Institute for Biological
Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA
| | - Yam Stern
- Laboratory of Genetics, Salk Institute for Biological
Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA
| | - Gabriela Goldberg
- Laboratory of Genetics, Salk Institute for Biological
Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA
| | - Dekel Galor
- Laboratory of Genetics, Salk Institute for Biological
Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA
| | - Thao Nguyen
- Laboratory of Genetics, Salk Institute for Biological
Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA
| | - Lynne Randolph-Moore
- Laboratory of Genetics, Salk Institute for Biological
Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA
| | - Yongsung Kim
- Laboratory of Genetics, Salk Institute for Biological
Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA
| | - Guy Rouleau
- Montreal Neurological Institute, McGill University,
Montreal
| | - Anne Bang
- Conrad Prebys Center for Chemical Genomics, Sanford Burnham
Prebys Medical Discovery Institute, 10901 North Torrey Pines Road, La Jolla, CA
92037, USA
| | - Martin Alda
- Department of Psychiatry, Dalhousie University, 5909
Veterans’ Memorial Lane, Halifax, NS, B3H 2E2, Canada
| | - Renata Santos
- Laboratory of Genetics, Salk Institute for Biological
Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA,Laboratory of Dynamic of Neuronal Structure in Health and
Disease, Institute of Psychiatry and Neuroscience of Paris (UMR_S1266 INSERM,
University of Paris), 102 rue de la Sante, 75014 Paris, France
| | - Maria C. Marchetto
- Laboratory of Genetics, Salk Institute for Biological
Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA
| | - Fred H. Gage
- Laboratory of Genetics, Salk Institute for Biological
Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA,Co-Corresponding authors: Shani Stern
, Fred H. Gage,
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25
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Vai B, Parenti L, Bollettini I, Cara C, Verga C, Melloni E, Mazza E, Poletti S, Colombo C, Benedetti F. Predicting differential diagnosis between bipolar and unipolar depression with multiple kernel learning on multimodal structural neuroimaging. Eur Neuropsychopharmacol 2020; 34:28-38. [PMID: 32238313 DOI: 10.1016/j.euroneuro.2020.03.008] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Revised: 01/24/2020] [Accepted: 03/06/2020] [Indexed: 01/10/2023]
Abstract
One of the greatest challenges in providing early effective treatment in mood disorders is the early differential diagnosis between major depression (MDD) and bipolar disorder (BD). A remarkable need exists to identify reliable biomarkers for these disorders. We integrate structural neuroimaging techniques (i.e. Tract-based Spatial Statistics, TBSS, and Voxel-based morphometry) in a multiple kernel learning procedure in order to define a predictive function of BD against MDD diagnosis in a sample of 148 patients. We achieved a balanced accuracy of 73.65% with a sensitivity for BD of 74.32% and specificity for MDD of 72.97%. Mass-univariates analyses showed reduced grey matter volume in right hippocampus, amygdala, parahippocampal, fusiform gyrus, insula, rolandic and frontal operculum and cerebellum, in BD compared to MDD. Volumes in these regions and in anterior cingulate cortex were also reduced in BD compared to healthy controls (n = 74). TBSS analyses revealed widespread significant effects of diagnosis on fractional anisotropy, axial, radial, and mean diffusivity in several white matter tracts, suggesting disruption of white matter microstructure in depressed patients compared to healthy controls, with worse pattern for MDD. To best of our knowledge, this is the first study combining grey matter and diffusion tensor imaging in predicting BD and MDD diagnosis. Our results prompt brain quantitative biomarkers and multiple kernel learning as promising tool for personalized treatment in mood disorders.
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Affiliation(s)
- Benedetta Vai
- Division of Neuroscience, Psychiatry and Clinical Psychobiology Unit, IRCCS San Raffaele Scientific Institute, Milano, Italy; University Vita-Salute San Raffaele, Milano, Italy; Fondazione Centro San Raffaele, Milano, Italy.
| | - Lorenzo Parenti
- Division of Neuroscience, Psychiatry and Clinical Psychobiology Unit, IRCCS San Raffaele Scientific Institute, Milano, Italy
| | - Irene Bollettini
- Division of Neuroscience, Psychiatry and Clinical Psychobiology Unit, IRCCS San Raffaele Scientific Institute, Milano, Italy
| | - Cristina Cara
- Division of Neuroscience, Psychiatry and Clinical Psychobiology Unit, IRCCS San Raffaele Scientific Institute, Milano, Italy
| | - Chiara Verga
- Division of Neuroscience, Psychiatry and Clinical Psychobiology Unit, IRCCS San Raffaele Scientific Institute, Milano, Italy
| | - Elisa Melloni
- Division of Neuroscience, Psychiatry and Clinical Psychobiology Unit, IRCCS San Raffaele Scientific Institute, Milano, Italy
| | - Elena Mazza
- Division of Neuroscience, Psychiatry and Clinical Psychobiology Unit, IRCCS San Raffaele Scientific Institute, Milano, Italy; University Vita-Salute San Raffaele, Milano, Italy
| | - Sara Poletti
- Division of Neuroscience, Psychiatry and Clinical Psychobiology Unit, IRCCS San Raffaele Scientific Institute, Milano, Italy; University Vita-Salute San Raffaele, Milano, Italy
| | - Cristina Colombo
- Division of Neuroscience, Psychiatry and Clinical Psychobiology Unit, IRCCS San Raffaele Scientific Institute, Milano, Italy; University Vita-Salute San Raffaele, Milano, Italy
| | - Francesco Benedetti
- Division of Neuroscience, Psychiatry and Clinical Psychobiology Unit, IRCCS San Raffaele Scientific Institute, Milano, Italy; University Vita-Salute San Raffaele, Milano, Italy
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26
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Van Gestel H, Franke K, Petite J, Slaney C, Garnham J, Helmick C, Johnson K, Uher R, Alda M, Hajek T. Brain age in bipolar disorders: Effects of lithium treatment. Aust N Z J Psychiatry 2019; 53:1179-1188. [PMID: 31244332 DOI: 10.1177/0004867419857814] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
OBJECTIVE Bipolar disorders increase the risk of dementia and show biological and brain alterations, which resemble accelerated aging. Lithium may counter some of these processes and lower the risk of dementia. However, until now no study has specifically investigated the effects of Li on brain age. METHODS We acquired structural magnetic resonance imaging scans from 84 participants with bipolar disorders (41 with and 43 without Li treatment) and 45 controls. We used a machine learning model trained on an independent sample of 504 controls to estimate the individual brain ages of study participants, and calculated BrainAGE by subtracting chronological from the estimated brain age. RESULTS BrainAGE was significantly greater in non-Li relative to Li or control participants, F(2, 125) = 10.22, p < 0.001, with no differences between the Li treated and control groups. The estimated brain age was significantly higher than the chronological age in the non-Li (4.28 ± 6.33 years, matched t(42) = 4.43, p < 0.001), but not the Li-treated group (0.48 ± 7.60 years, not significant). Even Li-treated participants with partial prophylactic treatment response showed lower BrainAGE than the non-Li group, F(1, 64) = 4.80, p = 0.03. CONCLUSIONS Bipolar disorders were associated with greater, whereas Li treatment with lower discrepancy between brain and chronological age. These findings support the neuroprotective effects of Li, which were sufficiently pronounced to affect a complex, multivariate measure of brain structure. The association between Li treatment and BrainAGE was independent of long-term thymoprophylactic response and thus may generalize beyond bipolar disorders, to neurodegenerative disorders.
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Affiliation(s)
- Holly Van Gestel
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Katja Franke
- Structural Brain Mapping Group, Department of Psychiatry, Jena University Hospital, Jena, Germany
| | - Joanne Petite
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Claire Slaney
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Julie Garnham
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Carl Helmick
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Kyle Johnson
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Rudolf Uher
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Martin Alda
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada.,National Institute of Mental Health, Klecany, Czech Republic
| | - Tomas Hajek
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada.,National Institute of Mental Health, Klecany, Czech Republic
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27
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Valiati FE, Hizo GH, Pinto JV, Kauer-Sant`Anna M. The Possible Role of Telomere Length and Chemokines in the Aging Process: A Transdiagnostic Review in Psychiatry. CURRENT PSYCHIATRY RESEARCH AND REVIEWS 2019. [DOI: 10.2174/1573400515666190719155906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Background:Psychiatric disorders are common, reaching a worldwide prevalence of 29.2%. They are associated with a high risk of premature death and with accelerated aging in clinical, molecular and neuroimaging studies. Recently, there is strong evidence suggesting a possible role of telomere length and chemokines in aging processes in psychiatric disorders.Objective:We aimed to review the literature on telomere length and chemokines and its association with early aging in mental illnesses on a transdiagnostic approach.Results:The review highlights the association between psychiatric disorders and early aging. Several independent studies have reported shorter telomere length and dysregulations on levels of circulating chemokines in schizophrenia, bipolar disorder, major depressive disorder, and anxiety disorders, suggesting a complex interaction between these markers in a transdiagnostic level. However, studies have investigated the inflammatory markers and telomere shortening separately and associated with a particular diagnosis, rather than as a transdiagnostic biological feature.Conclusion:There is consistent evidence supporting the relationship between accelerated aging, telomere length, and chemokines in mental disorders, but they have been studied individually. Thus, more research is needed to improve the knowledge of accelerated senescence and its biomarkers in psychiatry, not only individually in each diagnosis, but also based on a transdiagnostic perspective. Moreover, further research should try to elucidate how the intricate association between the chemokines and telomeres together may contribute to the aging process in psychiatric disorders.
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Affiliation(s)
- Fernanda Endler Valiati
- Laboratory of Molecular Psychiatry, Experimental Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Gabriel Henrique Hizo
- Laboratory of Molecular Psychiatry, Experimental Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Jairo Vinícius Pinto
- Laboratory of Molecular Psychiatry, Experimental Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Márcia Kauer-Sant`Anna
- Laboratory of Molecular Psychiatry, Experimental Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
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28
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Kittel-Schneider S, Hilscher M, Scholz CJ, Weber H, Grünewald L, Schwarz R, Chiocchetti AG, Reif A. Lithium-induced gene expression alterations in two peripheral cell models of bipolar disorder. World J Biol Psychiatry 2019; 20:462-475. [PMID: 29067888 DOI: 10.1080/15622975.2017.1396357] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Objectives: The aim of our study was to investigate molecular mechanisms of lithium action by studying the gene expression profile of peripheral cell models generated from bipolar patients (BD) and healthy controls (HC). Methods: EBV-immortalised lymphoblastoid cells (LCLs) and fibroblast cells from BD and HC were incubated with either lithium chloride or plain medium for 3 weeks. We first conducted a microarray gene expression study. The most promising differentially regulated genes in terms of lithium-associated or disorder-associated pathways were then replicated by quantitative real-time PCR (qRT-PCR). Results: The pooled microarray analysis showed 459 genes to be differentially regulated in BD compared to HC and 58 due to lithium treatment in LCLs, and 295 genes to be differentially regulated in BD compared to HC and five due to lithium treatment in fibroblasts. After correction for multiple comparison, EPHB1 disorder × treatment interactions remained significant in LCLs validated by qRT-PCR. In the control group, lithium influenced the expression of ANP32E, PLEKHA2, KCNK1, PRKCH, ST3GAL6 and AIF1. In bipolar and control fibroblast cells lithium treatment decreased FGF9 expression. Conclusions: The differentially regulated genes in our study add evidence for the relevance of inflammation, neuronal/glial development, phosphatidylinositol second-messenger pathway and ion channels in the mode of action of lithium.
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Affiliation(s)
- Sarah Kittel-Schneider
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University of Frankfurt , Frankfurt , Germany
| | - Max Hilscher
- Department of Internal Medicine I, University Hospital of Mainz , Mainz , Germany
| | - Claus-Jürgen Scholz
- Microarray Core Unit, Interdisciplinary Center for Clinical Research, University of Würzburg , Würzburg , Germany.,LIMES, Life and Medical Science Institute, University of Bonn , Bonn , Germany
| | - Heike Weber
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University of Frankfurt , Frankfurt , Germany.,Microarray Core Unit, Interdisciplinary Center for Clinical Research, University of Würzburg , Würzburg , Germany.,Department of Psychiatry, Psychotherapy and Psychosomatic Medicine, University of Würzburg , Würzburg , Germany
| | - Lena Grünewald
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University of Frankfurt , Frankfurt , Germany
| | - Ricarda Schwarz
- Department of Neuroradiology, University Hospital of Tübingen , Tübingen , Germany
| | - Andreas G Chiocchetti
- Department of Child and Adolescent Psychiatry, Psychosomatic Medicine and Psychotherapy, Autism Research Centre of Excellence Frankfurt, University Hospital of Frankfurt , Frankfurt , Germany
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University of Frankfurt , Frankfurt , Germany
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29
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Wang X, Luo Q, Tian F, Cheng B, Qiu L, Wang S, He M, Wang H, Duan M, Jia Z. Brain grey-matter volume alteration in adult patients with bipolar disorder under different conditions: a voxel-based meta-analysis. J Psychiatry Neurosci 2019; 44:89-101. [PMID: 30354038 PMCID: PMC6397036 DOI: 10.1503/jpn.180002] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND The literature on grey-matter volume alterations in bipolar disorder is heterogeneous in its findings. METHODS Using effect-size differential mapping, we conducted a meta-analysis of grey-matter volume alterations in patients with bipolar disorder compared with healthy controls. RESULTS We analyzed data from 50 studies that included 1843 patients with bipolar disorder and 2289 controls. Findings revealed lower grey-matter volumes in the bilateral superior frontal gyri, left anterior cingulate cortex and right insula in patients with bipolar disorder and in patients with bipolar disorder type I. Patients with bipolar disorder in the euthymic and depressive phases had spatially distinct regions of altered grey-matter volume. Meta-regression revealed that the proportion of female patients with bipolar disorder or bipolar disorder type I was negatively correlated with regional grey-matter alteration in the right insula; the proportion of patients with bipolar disorder or bipolar disorder type I taking lithium was positively correlated with regional grey-matter alterations in the left anterior cingulate/paracingulate gyri; and the proportion of patients taking antipsychotic medications was negatively correlated with alterations in the anterior cingulate/paracingulate gyri. LIMITATIONS This study was cross-sectional; analysis techniques, patient characteristics and clinical variables in the included studies were heterogeneous. CONCLUSION Structural grey-matter abnormalities in patients with bipolar disorder and bipolar disorder type I were mainly in the prefrontal cortex and insula. Patients' mood state might affect grey-matter alterations. Abnormalities in regional grey-matter volume could be correlated with patients' specific demographic and clinical features.
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Affiliation(s)
- Xiuli Wang
- From the Department of Psychiatry, the Fourth People’s Hospital of Chengdu, Chengdu, China (Duan, He, H. Wang, S. Wang, X. Wang); the Department of Radiology, Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China (Luo, Jia); the Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, China (Tian, Jia); the Department of Radiology, West China Second University Hospital of Sichuan University, Chengdu, China (Cheng); and the Department of Radiology, the Second People’s Hospital of Yibin, Yibin, China (Qiu)
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30
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Shulman KI, Almeida OP, Herrmann N, Schaffer A, Strejilevich SA, Paternoster C, Amodeo S, Dols A, Sajatovic M. Delphi survey of maintenance lithium treatment in older adults with bipolar disorder: An ISBD task force report. Bipolar Disord 2019; 21:117-123. [PMID: 30375703 PMCID: PMC6587471 DOI: 10.1111/bdi.12714] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
OBJECTIVES Despite the growing numbers and proportion of older adults with bipolar disorder (OABD), there are very limited guidelines for the use of lithium with its double-edged potential for effectiveness and toxicity in this population. The primary aims of this Delphi survey were: (a) To determine the place of lithium among the preferred choices for maintenance treatment of OABD. (b) To provide detailed clinical guidelines for the safe and effective use of lithium in OABD. METHODS In the face of limited evidence, the Delphi survey method was used to achieve consensus by a group of 25 experts in OABD from nine countries. An oversight committee monitored and analyzed the results of each survey and formulated more focused questions with each subsequent iteration. RESULTS A 100% response rate was achieved for all three iterations of the survey. Lithium was the preferred choice for maintenance monotherapy in OABD. Serum levels of 0.4-0.8 mmol/L were recommended for ages 60-79 and serum levels of 0.4-0.7 mmol/L were recommended for ages 80 and over. Specific recommendations achieved consensus for second line monotherapy as well as for other drugs to be used in combination with lithium if necessary. Guidelines for routine monitoring of lithium in OABD were provided for laboratory investigations and clinical assessments. CONCLUSIONS Lithium remains the preferred choice for maintenance monotherapy in OABD. Laboratories should report the therapeutic range for serum levels of lithium separately for older adults.
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Affiliation(s)
- Kenneth I. Shulman
- Department of Psychiatry, Sunnybrook Health Sciences CentreUniversity of TorontoTorontoONCanada
| | - Osvaldo P. Almeida
- Western Australian Centre for Health & Ageing, Medical SchoolUniversity of Western AustraliaPerthAustralia
| | - Nathan Herrmann
- Department of Psychiatry, Sunnybrook Health Sciences CentreUniversity of TorontoTorontoONCanada
| | - Ayal Schaffer
- Department of Psychiatry, Sunnybrook Health Sciences CentreUniversity of TorontoTorontoONCanada
| | - Sergio A. Strejilevich
- Bipolar Disorder ProgramNeurosciences Institute, Favaloro UniversityBuenos AiresArgentina
| | | | - Sean Amodeo
- Department of Psychiatry, Sunnybrook Health Sciences CentreUniversity of TorontoTorontoONCanada
| | - Annemiek Dols
- Department of Old Age PsychiatryGGZinGeest/VumcAmsterdamthe Netherlands
| | - Martha Sajatovic
- Department of PsychiatryCase Western Reserve University School of Medicine, University Hospitals Case Medical CenterClevelandOhio
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31
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Fateh AA, Long Z, Duan X, Cui Q, Pang Y, Farooq MU, Nan X, Chen Y, Sheng W, Tang Q, Chen H. Hippocampal functional connectivity-based discrimination between bipolar and major depressive disorders. Psychiatry Res Neuroimaging 2019; 284:53-60. [PMID: 30684896 DOI: 10.1016/j.pscychresns.2019.01.004] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2018] [Revised: 01/11/2019] [Accepted: 01/11/2019] [Indexed: 01/14/2023]
Abstract
Despite the impressive advancements in the neuropathology of mood disorders, patients with bipolar disorder (BD) are often misdiagnosed on the initial presentation with major depressive disorder (MDD). With supporting evidence from neuroimaging studies, the abnormal functional connectivity (FC) of the hippocampus has been associated with various mood disorders, including BD and MDD. However, the features of the hippocampal FC underlying MDD and BD have not been directly compared. This study aims to investigate the hippocampal resting-state FC (rsFC) analyses to distinguish these two clinical conditions. Resting-state functional magnetic resonance imaging (fMRI) data was collected from a sample group of 30 patients with BD, 29 patients with MDD and 30 healthy controls (HCs). One-way ANOVA was employed to assess the potential differences of the hippocampus FC across all subjects. BD patients exhibited increased FC of the bilateral anterior/posterior hippocampus with lingual gyrus and inferior frontal gyrus (IFG) relative to patients MDD patients. In comparison with HCs, patients with BD and MDD had an increased FC between the right anterior hippocampus and lingual gyrus and a decreased FC between the right posterior hippocampus and right IFG. The results revealed a distinct hippocampal FC in MDD patients compared with that observed in BD patients. These findings may assist investigators in attempting to distinguish mood disorders by using fMRI data.
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Affiliation(s)
- Ahmed Ameen Fateh
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuro-Information, University of Electronic Science and Technology of China, Chengdu, China; School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Zhiliang Long
- Sleep and Neuroimaging Center, Faculty of Psychology, Southwest University, Chongqing, China
| | - Xujun Duan
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuro-Information, University of Electronic Science and Technology of China, Chengdu, China; School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Qian Cui
- School of Political Science and Public Administration, University of Electronic Science and Technology of China, Chengdu, China
| | - Yajing Pang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuro-Information, University of Electronic Science and Technology of China, Chengdu, China; School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Muhammad Umar Farooq
- Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, China
| | - Xiaoyu Nan
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuro-Information, University of Electronic Science and Technology of China, Chengdu, China; School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, China; School of Political Science and Public Administration, University of Electronic Science and Technology of China, Chengdu, China
| | - Yuyan Chen
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuro-Information, University of Electronic Science and Technology of China, Chengdu, China; School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Wei Sheng
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuro-Information, University of Electronic Science and Technology of China, Chengdu, China; School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Qin Tang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuro-Information, University of Electronic Science and Technology of China, Chengdu, China; School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Huafu Chen
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuro-Information, University of Electronic Science and Technology of China, Chengdu, China; School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, China.
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32
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Schindler S, Schmidt L, Stroske M, Storch M, Anwander A, Trampel R, Strauß M, Hegerl U, Geyer S, Schönknecht P. Hypothalamus enlargement in mood disorders. Acta Psychiatr Scand 2019; 139:56-67. [PMID: 30229855 DOI: 10.1111/acps.12958] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/15/2018] [Indexed: 12/24/2022]
Abstract
OBJECTIVE The purpose of this study was to determine, in vivo, whether the hypothalamus volume is reduced in patients with mood disorders. METHODS The cross-sectional study included 20 unmedicated (MDDu) and 20 medicated patients with major depressive disorder, 21 patients with bipolar disorder, and 23 controls. Twenty of the controls were matched to the MDDu. Seven Tesla, T1-weighted magnetic resonance images were acquired and processed using methods specifically developed for high-precision volumetry of the hypothalamus. RESULTS An overall group difference was observed for the left hypothalamus volume corrected for intracranial volume. Planned contrasts identified that the left hypothalamus was approximately 5% larger in each patient group compared with the control group. A paired t-test with the 20 matched pairs of MDDu and controls and without correction for covariates confirmed the larger left hypothalamus volume in MDDu. CONCLUSIONS Contrary to our expectations, the hypothalamus volume was increased in patients with uni- and bipolar affective disorders. The effect was left-sided and independent of medication status or statistical correction for covariates. Supported by emerging evidence that the stress response may be related to structural and functional asymmetry in the brain, our finding suggests a crucial role of the hypothalamus in mood disorders.
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Affiliation(s)
- S Schindler
- Department of Psychiatry and Psychotherapy, University Hospital Leipzig, Leipzig, Germany.,Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - L Schmidt
- Department of Psychiatry and Psychotherapy, University Hospital Leipzig, Leipzig, Germany
| | - M Stroske
- Department of Psychiatry and Psychotherapy, University Hospital Leipzig, Leipzig, Germany
| | - M Storch
- Department of Psychiatry and Psychotherapy, University Hospital Leipzig, Leipzig, Germany
| | - A Anwander
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - R Trampel
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - M Strauß
- Department of Psychiatry and Psychotherapy, University Hospital Leipzig, Leipzig, Germany
| | - U Hegerl
- Department of Psychiatry and Psychotherapy, University Hospital Leipzig, Leipzig, Germany
| | - S Geyer
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - P Schönknecht
- Out-patient Department for Sexual-therapeutic Prevention and Forensic Psychiatry, Leipzig, Germany.,Academic State Hospital Arnsdorf, Arnsdorf, Germany
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33
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Pugliese V, Bruni A, Carbone EA, Calabrò G, Cerminara G, Sampogna G, Luciano M, Steardo L, Fiorillo A, Garcia CS, De Fazio P. Maternal stress, prenatal medical illnesses and obstetric complications: Risk factors for schizophrenia spectrum disorder, bipolar disorder and major depressive disorder. Psychiatry Res 2019; 271:23-30. [PMID: 30458317 DOI: 10.1016/j.psychres.2018.11.023] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2018] [Revised: 09/18/2018] [Accepted: 11/12/2018] [Indexed: 12/17/2022]
Abstract
Maternal stress and medical illnesses during early life are well-documented environmental indicators of an increased risk of schizophrenia. Few studies, conversely, have confirmed an association with major affective disorders. The present study examined the impact of maternal stress, medical illnesses and obstetric complications on the development of severe mental disorder in 240 patients with a diagnosis of schizophrenia spectrum disorder, bipolar disorder, or major depressive disorder and matched with 85 controls. Mothers of participants were asked about stressful events during pregnancy using the Social Readjustment Scale; information on prenatal/perinatal illnesses were acquired from medical records. Schizophrenia spectrum disorder was positively associated with maternal stress (OR = 2.16), infections (OR = 7.67), inadequate weight gain (OR = 9.52) during pregnancy, and peripartum asphyxia (OR = 4.00). An increased risk of bipolar disorder was associated with head circumference < 32 cm at birth (OR = 5.40) and inversely with inadequate weight gain (OR = 0.29). Major depressive disorder diagnosis was inversely related to inadequate weight gain (OR = 0.22). These results support a role for maternal stress, medical illnesses and obstetric complications as risk factors for subsequent severe mental illness in adulthood. Further research is needed, especially with regard to affective disorders.
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Affiliation(s)
- Valentina Pugliese
- Department of Psychiatry, University "Magna Graecia"of Catanzaro, Via T. Campanella 115, Catanzaro 88100, Italy
| | - Antonella Bruni
- Department of Psychiatry, University "Magna Graecia"of Catanzaro, Via T. Campanella 115, Catanzaro 88100, Italy
| | - Elvira Anna Carbone
- Department of Psychiatry, University "Magna Graecia"of Catanzaro, Via T. Campanella 115, Catanzaro 88100, Italy
| | - Giuseppina Calabrò
- Department of Psychiatry, University "Magna Graecia"of Catanzaro, Via T. Campanella 115, Catanzaro 88100, Italy
| | - Gregorio Cerminara
- Department of Psychiatry, University "Magna Graecia"of Catanzaro, Via T. Campanella 115, Catanzaro 88100, Italy
| | - Gaia Sampogna
- Department of Psychiatry, University "Luigi Vanvitelli" of Campania, Largo Madonna delle Grazie, Naples 80138, Italy
| | - Mario Luciano
- Department of Psychiatry, University "Luigi Vanvitelli" of Campania, Largo Madonna delle Grazie, Naples 80138, Italy
| | - Luca Steardo
- Department of Psychiatry, University "Luigi Vanvitelli" of Campania, Largo Madonna delle Grazie, Naples 80138, Italy
| | - Andrea Fiorillo
- Department of Psychiatry, University "Luigi Vanvitelli" of Campania, Largo Madonna delle Grazie, Naples 80138, Italy
| | - Cristina Segura Garcia
- Department of Psychiatry, University "Magna Graecia"of Catanzaro, Via T. Campanella 115, Catanzaro 88100, Italy
| | - Pasquale De Fazio
- Department of Psychiatry, University "Magna Graecia"of Catanzaro, Via T. Campanella 115, Catanzaro 88100, Italy.
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34
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Nakahara S, Matsumoto M, van Erp TGM. Hippocampal subregion abnormalities in schizophrenia: A systematic review of structural and physiological imaging studies. Neuropsychopharmacol Rep 2018; 38:156-166. [PMID: 30255629 PMCID: PMC7021222 DOI: 10.1002/npr2.12031] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2017] [Revised: 08/03/2018] [Accepted: 08/23/2018] [Indexed: 01/30/2023] Open
Abstract
Aim The hippocampus is considered a key region in schizophrenia pathophysiology, but the nature of hippocampal subregion abnormalities and how they contribute to disease expression remain to be fully determined. This study reviews findings from schizophrenia hippocampal subregion volumetric and physiological imaging studies published within the last decade. Methods The PubMed database was searched for publications on hippocampal subregion volume and physiology abnormalities in schizophrenia and their findings were reviewed. Results The main replicated findings include smaller CA1 volumes and CA1 hyperactivation in schizophrenia, which may be predictive of conversion in individuals at clinical high risk of psychosis, smaller CA1 and CA4/DG volumes in first‐episode schizophrenia, and more widespread smaller hippocampal subregion volumes with longer duration of illness. Several studies have reported relationships between hippocampal subregion volumes and declarative memory or symptom severity. Conclusions Together these studies provide support for hippocampal formation circuitry models of schizophrenia. These initial findings must be taken with caution as the scientific community is actively working on hippocampal subregion method improvement and validation. Further improvements in our understanding of the nature of hippocampal formation subregion involvement in schizophrenia will require the collection of structural and physiological imaging data at submillimeter voxel resolution, standardization and agreement of atlases, adequate control for possible confounding factors, and multi‐method validation of findings. Despite the need for cautionary interpretation of the initial findings, we believe that improved localization of hippocampal subregion abnormalities in schizophrenia holds promise for the identification of disease contributing mechanisms. The hippocampus is considered a key region in schizophrenia pathophysiology but the nature of hippocampal subregion abnormalities and how they contribute to disease expression remains to be fully determined. This study reviews findings from schizophrenia hippocampal subregion volumetric and physiological imaging studies published within the last decade.
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Affiliation(s)
- Soichiro Nakahara
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, California.,Drug Discovery Research, Astellas Pharma Inc., Tsukuba, Japan
| | | | - Theo G M van Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, California
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35
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Boksa P, Joober R. Who should be "controls" in studies on the neurobiology of psychiatric disorders? J Psychiatry Neurosci 2018; 43. [PMID: 30125246 PMCID: PMC6158024 DOI: 10.1503/jpn.180128] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Affiliation(s)
- Patricia Boksa
- From the Douglas Mental Health University Institute, Dept. of Psychiatry, McGill University, Montreal, Que., Canada
| | - Ridha Joober
- From the Douglas Mental Health University Institute, Dept. of Psychiatry, McGill University, Montreal, Que., Canada
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36
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Yüksel D, Engelen J, Schuster V, Dietsche B, Konrad C, Jansen A, Dannlowski U, Kircher T, Krug A. Longitudinal brain volume changes in major depressive disorder. J Neural Transm (Vienna) 2018; 125:1433-1447. [PMID: 30167933 DOI: 10.1007/s00702-018-1919-8] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2018] [Accepted: 08/20/2018] [Indexed: 12/31/2022]
Abstract
Patients with major depressive disorder (MDD) exhibit gray matter volume (GMV) reductions in limbic regions. Clinical variables-such as the number of depressive episodes-seem to affect volume alterations. It is unclear whether the observed cross-sectional GMV abnormalities in MDD change over time, and whether there is a longitudinal relationship between GMV changes and the course of disorder. We investigated T1 structural MRI images of 54 healthy control (HC) and 37 MDD patients in a 3-Tesla-MRI with a follow-up interval of 3 years. The Cat12 toolbox was used to analyze longitudinal data (p < 0.05, FWE-corrected, whole-brain analysis; flexible factorial design). Interaction effects indicated increasing GMV in MDD in the bilateral amygdala, and decreasing GMV in the right thalamus between T1 and T2. Further analyses comparing patients with a mild course of disorder (MCD; 0-1 depressive episode during the follow-up) to patients with a severe course of disorder (SCD; > 1 depressive episode during the follow-up) revealed increasing amygdalar volume in MCD. Our study confirms structural alterations in limbic regions in MDD patients and an association between these impairments and the course of disorder. Thus, we assume that the reported volumetric alterations in the left amygdala (i.e. volumetric normalization) are reversible and apparently driven by the clinical phenotype. Hence, these results support the assumption that the severity and progression of disease influences amygdalar GMV changes in MDD or vice versa.
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Affiliation(s)
- Dilara Yüksel
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Rudolf-Bultmann-Str. 8, 35039, Marburg, Germany.
| | - Jennifer Engelen
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Rudolf-Bultmann-Str. 8, 35039, Marburg, Germany
| | - Verena Schuster
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Rudolf-Bultmann-Str. 8, 35039, Marburg, Germany
| | - Bruno Dietsche
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Rudolf-Bultmann-Str. 8, 35039, Marburg, Germany
| | - Carsten Konrad
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Rudolf-Bultmann-Str. 8, 35039, Marburg, Germany
- Agaplesion Diakonieklinikum Rotenburg, Centre for Psychosocial Medicine, Elise-Averdieck-Straße 17, 27356, Rotenburg (Wümme), Germany
| | - Andreas Jansen
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Rudolf-Bultmann-Str. 8, 35039, Marburg, Germany
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Rudolf-Bultmann-Str. 8, 35039, Marburg, Germany
| | - Axel Krug
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Rudolf-Bultmann-Str. 8, 35039, Marburg, Germany
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37
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Li L, Ji E, Han X, Tang F, Bai Y, Peng D, Fang Y, Zhang S, Zhang Z, Yang H. Cortical thickness and subcortical volumes alterations in euthymic bipolar I patients treated with different mood stabilizers. Brain Imaging Behav 2018; 13:1255-1264. [DOI: 10.1007/s11682-018-9950-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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38
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Sani G, Simonetti A, Janiri D, Banaj N, Ambrosi E, De Rossi P, Ciullo V, Arciniegas DB, Piras F, Spalletta G. Association between duration of lithium exposure and hippocampus/amygdala volumes in type I bipolar disorder. J Affect Disord 2018; 232:341-348. [PMID: 29510351 DOI: 10.1016/j.jad.2018.02.042] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2017] [Revised: 01/17/2018] [Accepted: 02/16/2018] [Indexed: 02/07/2023]
Abstract
BACKGROUND Prior studies on the effects of lithium on limbic and subcortical gray matter volumes are mixed. It is possible that discrepant findings may be explained by the duration of lithium exposure. We investigated this issue in individuals with type I bipolar disorder (BP-I). METHODS Limbic and subcortical gray matter volume was measured using FreeSurfer in 60 subjects: 15 with BP-I without prior lithium exposure [no-exposure group (NE)]; 15 with BP-I and lithium exposure < 24 months [short-exposure group (SE)]; 15 with BP-I and lithium exposure > 24 months [long-exposure group (LE)]; and 15 healthy controls (HC). RESULTS No differences in limbic and subcortical gray matter volumes were found between LE and HC. Hippocampal and amygdalar volumes were larger bilaterally in both LE and HC when compared to NE. Amygdalar volumes were larger bilaterally in SE when compared to NE but did not differ from LE. Hippocampal volumes were smaller bilaterally in SE when compared to LE and HC but did not differ from NE. No between-group differences on subcortical gray matter or other limbic structure volumes were observed. LIMITATIONS Cross-sectional design and concurrent treatment with other medications limit attribution of between-group differences to lithium exposure alone. CONCLUSIONS The effect of lithium exposure on limbic and subcortical gray matter volumes appears to be time-dependent and relatively specific to the hippocampus and the amygdala, with short-term effects on the amygdala and long-term effects on both structures. These results support the clinical importance of long-term lithium treatment in BP-I.
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Affiliation(s)
- Gabriele Sani
- NESMOS Department (Neurosciences, Mental Health, and Sensory Organs), Sapienza University of Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Rome, Italy; Centro Lucio Bini, Rome, Italy; School of Medicine, Mood Disorder Program, Tufts University, Boston, MA, USA
| | - Alessio Simonetti
- Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy; Centro Lucio Bini, Rome, Italy; Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Delfina Janiri
- Psychiatry Residency Training Program, Faculty of Medicine and Psychology, Sapienza University of Rome, Italy
| | - Nerisa Banaj
- IRCCS Santa Lucia Foundation, Laboratory of Neuropsychiatry, Rome, Italy
| | - Elisa Ambrosi
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA; IRCCS Santa Lucia Foundation, Laboratory of Neuropsychiatry, Rome, Italy
| | - Pietro De Rossi
- NESMOS Department (Neurosciences, Mental Health, and Sensory Organs), Sapienza University of Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Rome, Italy; Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy
| | - Valentina Ciullo
- IRCCS Santa Lucia Foundation, Laboratory of Neuropsychiatry, Rome, Italy; Neurosciences, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, 50139 Italy
| | - David B Arciniegas
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA; Departments of Neurology and Psychiatry, University of Colorado School of Medicine, Aurora, CO, USA
| | - Fabrizio Piras
- IRCCS Santa Lucia Foundation, Laboratory of Neuropsychiatry, Rome, Italy
| | - Gianfranco Spalletta
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA; IRCCS Santa Lucia Foundation, Laboratory of Neuropsychiatry, Rome, Italy.
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39
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Shi J, Guo H, Fan F, Fan H, An H, Wang Z, Tan S, Yang F, Tan Y. Sex differences of hippocampal structure in bipolar disorder. Psychiatry Res Neuroimaging 2018; 273:35-41. [PMID: 29329741 DOI: 10.1016/j.pscychresns.2017.11.011] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2017] [Revised: 11/17/2017] [Accepted: 11/17/2017] [Indexed: 12/16/2022]
Abstract
Although differential patterns in clinical characteristics have been consistently noted between male and female patients with bipolar disorder (BD), the effect of sex on the hippocampal structure remains unclear. To address this, the present study investigated the effects of BD and sex on the hippocampal structure, and the relationship between the hippocampal structure and cognitive performance. Morphometric and neurocognitive analyses were performed in 91 subjects (patients with BD: male/female = 33/19; normal controls: male/female = 22/17). Patients had significantly decreased left parahippocampal gyrus area and left/right hippocampal volume compared to normal controls. Within the BD group only, female patients presented with smaller right hippocampal volume than males. In the Spatial Span (SS) test (used to assess working memory capacity) and the Maze test (used to evaluate the ability to anticipate), patients demonstrated decreased performance compared to normal controls, with a significant main effect of sex. Left parahippocampal gyrus area and right hippocampal volume were positively correlated with SS and Maze in patients; moreover, right hippocampal volume predicted 17.4% of SS performance variance. These results suggest that there may be a difference between male and female patients with regard to right hippocampal volume, and that female patients may need more attention than males.
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Affiliation(s)
- Jing Shi
- Beijing HuiLongGuan Hospital, Peking University, Beijing, China
| | - Hua Guo
- The Psychiatric Hospital of Zhumadian, Zhumadian City, Henan Province, China
| | - Fengmei Fan
- Beijing HuiLongGuan Hospital, Peking University, Beijing, China
| | - Hongzhen Fan
- Beijing HuiLongGuan Hospital, Peking University, Beijing, China
| | - Huimei An
- Beijing HuiLongGuan Hospital, Peking University, Beijing, China
| | - Zhiren Wang
- Beijing HuiLongGuan Hospital, Peking University, Beijing, China.
| | - Shuping Tan
- Beijing HuiLongGuan Hospital, Peking University, Beijing, China.
| | - Fude Yang
- Beijing HuiLongGuan Hospital, Peking University, Beijing, China
| | - Yunlong Tan
- Beijing HuiLongGuan Hospital, Peking University, Beijing, China
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40
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Kim YK, Na KS. Application of machine learning classification for structural brain MRI in mood disorders: Critical review from a clinical perspective. Prog Neuropsychopharmacol Biol Psychiatry 2018. [PMID: 28648568 DOI: 10.1016/j.pnpbp.2017.06.024] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Mood disorders are a highly prevalent group of mental disorders causing substantial socioeconomic burden. There are various methodological approaches for identifying the underlying mechanisms of the etiology, symptomatology, and therapeutics of mood disorders; however, neuroimaging studies have provided the most direct evidence for mood disorder neural substrates by visualizing the brains of living individuals. The prefrontal cortex, hippocampus, amygdala, thalamus, ventral striatum, and corpus callosum are associated with depression and bipolar disorder. Identifying the distinct and common contributions of these anatomical regions to depression and bipolar disorder have broadened and deepened our understanding of mood disorders. However, the extent to which neuroimaging research findings contribute to clinical practice in the real-world setting is unclear. As traditional or non-machine learning MRI studies have analyzed group-level differences, it is not possible to directly translate findings from research to clinical practice; the knowledge gained pertains to the disorder, but not to individuals. On the other hand, a machine learning approach makes it possible to provide individual-level classifications. For the past two decades, many studies have reported on the classification accuracy of machine learning-based neuroimaging studies from the perspective of diagnosis and treatment response. However, for the application of a machine learning-based brain MRI approach in real world clinical settings, several major issues should be considered. Secondary changes due to illness duration and medication, clinical subtypes and heterogeneity, comorbidities, and cost-effectiveness restrict the generalization of the current machine learning findings. Sophisticated classification of clinical and diagnostic subtypes is needed. Additionally, as the approach is inevitably limited by sample size, multi-site participation and data-sharing are needed in the future.
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Affiliation(s)
- Yong-Ku Kim
- Department of Psychiatry, College of Medicine, Korea University, Seoul, Republic of Korea
| | - Kyoung-Sae Na
- Department of Psychiatry, Gachon University Gil Medical Center, Incheon, Republic of Korea.
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Corrêa-Velloso JC, Gonçalves MC, Naaldijk Y, Oliveira-Giacomelli Á, Pillat MM, Ulrich H. Pathophysiology in the comorbidity of Bipolar Disorder and Alzheimer's Disease: pharmacological and stem cell approaches. Prog Neuropsychopharmacol Biol Psychiatry 2018; 80:34-53. [PMID: 28476640 DOI: 10.1016/j.pnpbp.2017.04.033] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2017] [Accepted: 04/28/2017] [Indexed: 12/22/2022]
Abstract
Neuropsychiatric disorders involve various pathological mechanisms, resulting in neurodegeneration and brain atrophy. Neurodevelopmental processes have shown to be critical for the progression of those disorders, which are based on genetic and epigenetic mechanisms as well as on extrinsic factors. We review here common mechanisms underlying the comorbidity of Bipolar Disorders and Alzheimer's Disease, such as aberrant neurogenesis and neurotoxicity, reporting current therapeutic approaches. The understanding of these mechanisms precedes stem cell-based strategies as a new therapeutic possibility for treatment and prevention of Bipolar and Alzheimer's Disease progression. Taking into account the difficulty of studying the molecular basis of disease progression directly in patients, we also discuss the importance of stem cells for effective drug screening, modeling and treating psychiatric diseases, once in vitro differentiation of patient-induced pluripotent stem cells provides relevant information about embryonic origins, intracellular pathways and molecular mechanisms.
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Affiliation(s)
- Juliana C Corrêa-Velloso
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, Av. Prof. Lineu Prestes 748, São Paulo, SP 05508-000, Brazil
| | - Maria Cb Gonçalves
- Departamento de Neurologia e Neurociências, Escola Paulista de Medicina, Universidade Federal de São Paulo, Rua Pedro de Toledo 669, São Paulo, SP 04039-032, Brazil
| | - Yahaira Naaldijk
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, Av. Prof. Lineu Prestes 748, São Paulo, SP 05508-000, Brazil
| | - Ágatha Oliveira-Giacomelli
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, Av. Prof. Lineu Prestes 748, São Paulo, SP 05508-000, Brazil
| | - Micheli M Pillat
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, Av. Prof. Lineu Prestes 748, São Paulo, SP 05508-000, Brazil
| | - Henning Ulrich
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, Av. Prof. Lineu Prestes 748, São Paulo, SP 05508-000, Brazil.
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Pinto JV, Passos IC, Librenza-Garcia D, Marcon G, Schneider MA, Conte JH, Abreu da Silva JP, Lima LP, Quincozes-Santos A, Kauer-Sant’Anna M, Kapczinski F. Neuron-glia Interaction as a Possible Pathophysiological Mechanism of Bipolar Disorder. Curr Neuropharmacol 2018; 16:519-532. [PMID: 28847296 PMCID: PMC5997869 DOI: 10.2174/1570159x15666170828170921] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2017] [Revised: 07/26/2017] [Accepted: 08/24/2017] [Indexed: 12/15/2022] Open
Abstract
Accumulating evidence has shown the importance of glial cells in the neurobiology of bipolar disorder. Activated microglia and inflammatory cytokines have been pointed out as potential biomarkers of bipolar disorder. Indeed, recent studies have shown that bipolar disorder involves microglial activation in the hippocampus and alterations in peripheral cytokines, suggesting a potential link between neuroinflammation and peripheral toxicity. These abnormalities may also be the biological underpinnings of outcomes related to neuroprogression, such as cognitive impairment and brain changes. Additionally, astrocytes may have a role in the progression of bipolar disorder, as these cells amplify inflammatory response and maintain glutamate homeostasis, preventing excitotoxicity. The present review aims to discuss neuron-glia interactions and their role in the pathophysiology and treatment of bipolar disorder.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Flávio Kapczinski
- Address correspondence to this author at the Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton-ON, Canada; Tel: +55 512 101 8845; E-mails: ,
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43
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Global grey matter volume in adult bipolar patients with and without lithium treatment: A meta-analysis. J Affect Disord 2018; 225:599-606. [PMID: 28886501 DOI: 10.1016/j.jad.2017.08.078] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2017] [Revised: 07/20/2017] [Accepted: 08/27/2017] [Indexed: 12/12/2022]
Abstract
OBJECTIVE The goal of this meta-analysis was to quantitatively summarize the evidence available on the differences in grey matter volume between lithium-treated and lithium-free bipolar patients. METHODS A systematic search was conducted in Cochrane Central, Embase, MEDLINE, and PsycINFO databases for original peer-reviewed journal articles that reported on global grey matter volume in lithium-medicated and lithium-free bipolar patients. Standard mean difference and Hedges' g were used to calculate effect size in a random-effects model. Risk of publication bias was assessed using Egger's test and quality of evidence was assessed using standard criteria. RESULTS There were 15 studies with a total of 854 patients (368 lithium-medicated, 486 lithium-free) included in the meta-analysis. Global grey matter volume was significantly larger in lithium-treated bipolar patients compared to lithium-free patients (SMD: 0.17, 95% CI: 0.01-0.33; z = 2.11, p = 0.035). Additionally, there was a difference in global grey matter volume between groups in studies that employed semi-automated segmentation methods (SMD: 0.66, 95% CI: 0.01-1.31; z = 1.99, p = 0.047), but no significant difference in studies that used fully-automated segmentation. No publication bias was detected (bias coefficient = - 0.65, p = 0.46). LIMITATIONS Variability in imaging methods and lack of high-quality evidence limits the interpretation of the findings. CONCLUSIONS Results suggest that lithium-treated patients have a greater global grey matter volume than those who were lithium-free. Further study of the relationship between lithium and grey matter volume may elucidate the therapeutic potential of lithium in conditions characterized by abnormal changes in brain structure.
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Takamiya A, Chung JK, Liang KC, Graff-Guerrero A, Mimura M, Kishimoto T. Effect of electroconvulsive therapy on hippocampal and amygdala volumes: systematic review and meta-analysis. Br J Psychiatry 2018; 212:19-26. [PMID: 29433612 DOI: 10.1192/bjp.2017.11] [Citation(s) in RCA: 78] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
BACKGROUND Electroconvulsive therapy (ECT) is one of the most effective treatments for depression, although the underlying mechanisms remain unclear. Animal studies have shown that electroconvulsive shock induced neuroplastic changes in the hippocampus. Aims To summarise volumetric magnetic resonance imaging studies investigating the effects of ECT on limbic brain structures. METHOD A systematic review and meta-analysis was conducted to assess volumetric changes of each side of the hippocampus and amygdala before and after ECT. Standardised mean difference (SMD) was calculated. RESULTS A total of 8 studies (n = 193) were selected for our analyses. Both right and left hippocampal and amygdala volumes increased after ECT. Meta-regression analyses revealed that age, percentage of those responding and percentage of those in remission were negatively associated with volume increases in the left hippocampus. CONCLUSIONS ECT increased brain volume in the limbic structures. The clinical relevance of volume increase needs further investigation. Declaration of interest None.
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Affiliation(s)
- Akihiro Takamiya
- Department of Neuropsychiatry,Keio University School of Medicine and Komagino Hospital,Tokyo,Japan
| | - Jun Ku Chung
- Institute of Medical Science,Faculty of Medicine,University of Toronto, and Multimodal Imaging Group Research Imaging Centre, Centre for Addiction and Mental Health,Toronto,Canada
| | - Kuo-Ching Liang
- Department of Neuropsychiatry,Keio University School of Medicine,Tokyo,Japan
| | - Ariel Graff-Guerrero
- Institute of Medical Science,Faculty of Medicine,University of Toronto, Multimodal Imaging Group Research Imaging Centre, Centre for Addiction and Mental Health,Toronto,Department of Psychiatry,University of Toronto,and Geriatric Mental Health Division,Centre for Addiction and Mental Health,Toronto,Canada
| | - Masaru Mimura
- Department of Neuropsychiatry,Keio University School of Medicine,Tokyo,Japan
| | - Taishiro Kishimoto
- Department of Neuropsychiatry,Keio University School of Medicine,Tokyo, Japan, andHofstra Northwell School of Medicine, Hempstead, New York,USA
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45
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Akbaş S, Nahir M, Pirzirenli ME, Dündar C, Ceyhan M, Sarısoy G, Şahin B. Quantitative analysis of the amygdala, thalamus and hippocampus on magnetic resonance images in paediatric bipolar disorders and compared with the children of bipolar parents and healthy control. Psychiatry Res Neuroimaging 2017; 270:61-67. [PMID: 29065344 DOI: 10.1016/j.pscychresns.2017.08.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2016] [Revised: 06/29/2017] [Accepted: 08/29/2017] [Indexed: 12/28/2022]
Abstract
MR imaging studies in paediatric bipolar disorder have particularly focused on the amygdala and hippocampus, subcortical structures, and to a lesser extent on the thalamus. The purpose of this study was to perform structural analysis of the regions of interest (ROI) associated with mood regulation. In this study 18 children (between the ages of 12-18) were matched according to their age and sex and were divided into three groups. These were: a paediatric bipolar disorder group, risk group and a healthy control group. The structured diagnostic interviews were performed with children and their parents. T1 weighted MR images in the sagittal plane with a thickness of 1mm were taken from the subjects. Automatic structural brain analysis was performed, and the volume and volume fraction (VF) of the ROIs were obtained. Brain size in the patients with paediatric bipolar disorder (742.4 ± 110.1cm3) was significantly smaller than the healthy control group (880.7 ± 73.8cm3) (p≤0.05). MRI analysis between the paediatric bipolar disorder, risk group and healthy control group revealed no difference between them in terms of amygdala, thalamus or hippocampal volumes. In this study, there was no difference between the volumes of amygdala, thalamus or hippocampus.
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Affiliation(s)
- Seher Akbaş
- Department of Child and Adolescent Psychiatry, Erenkoy Mental Health and Neurology Training and Research Hospital, Istanbul, Turkey.
| | - Mert Nahir
- Ondokuz Mayıs University Faculty of Medicine Department of Anatomy, Turkey
| | | | - Cihat Dündar
- Ondokuz Mayıs University Faculty of Medicine Department of Public Health, Turkey
| | - Meltem Ceyhan
- Ondokuz Mayıs University Faculty of Medicine Department of Radiology, Turkey
| | - Gökhan Sarısoy
- Ondokuz Mayıs University Faculty of Medicine Department of Psychiatry, Turkey
| | - Bünyamin Şahin
- Ondokuz Mayıs University Faculty of Medicine Department of Anatomy, Turkey
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Pelkey KA, Chittajallu R, Craig MT, Tricoire L, Wester JC, McBain CJ. Hippocampal GABAergic Inhibitory Interneurons. Physiol Rev 2017; 97:1619-1747. [PMID: 28954853 DOI: 10.1152/physrev.00007.2017] [Citation(s) in RCA: 494] [Impact Index Per Article: 70.6] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2017] [Revised: 05/16/2017] [Accepted: 05/26/2017] [Indexed: 12/11/2022] Open
Abstract
In the hippocampus GABAergic local circuit inhibitory interneurons represent only ~10-15% of the total neuronal population; however, their remarkable anatomical and physiological diversity allows them to regulate virtually all aspects of cellular and circuit function. Here we provide an overview of the current state of the field of interneuron research, focusing largely on the hippocampus. We discuss recent advances related to the various cell types, including their development and maturation, expression of subtype-specific voltage- and ligand-gated channels, and their roles in network oscillations. We also discuss recent technological advances and approaches that have permitted high-resolution, subtype-specific examination of their roles in numerous neural circuit disorders and the emerging therapeutic strategies to ameliorate such pathophysiological conditions. The ultimate goal of this review is not only to provide a touchstone for the current state of the field, but to help pave the way for future research by highlighting where gaps in our knowledge exist and how a complete appreciation of their roles will aid in future therapeutic strategies.
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Affiliation(s)
- Kenneth A Pelkey
- Porter Neuroscience Center, Eunice Kennedy-Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland; Institute of Biomedical and Clinical Sciences, University of Exeter Medical School, Hatherly Laboratories, University of Exeter, Exeter, United Kingdom; and Sorbonne Universités, UPMC University of Paris, INSERM, CNRS, Neurosciences Paris Seine-Institut de Biologie Paris Seine, Paris, France
| | - Ramesh Chittajallu
- Porter Neuroscience Center, Eunice Kennedy-Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland; Institute of Biomedical and Clinical Sciences, University of Exeter Medical School, Hatherly Laboratories, University of Exeter, Exeter, United Kingdom; and Sorbonne Universités, UPMC University of Paris, INSERM, CNRS, Neurosciences Paris Seine-Institut de Biologie Paris Seine, Paris, France
| | - Michael T Craig
- Porter Neuroscience Center, Eunice Kennedy-Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland; Institute of Biomedical and Clinical Sciences, University of Exeter Medical School, Hatherly Laboratories, University of Exeter, Exeter, United Kingdom; and Sorbonne Universités, UPMC University of Paris, INSERM, CNRS, Neurosciences Paris Seine-Institut de Biologie Paris Seine, Paris, France
| | - Ludovic Tricoire
- Porter Neuroscience Center, Eunice Kennedy-Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland; Institute of Biomedical and Clinical Sciences, University of Exeter Medical School, Hatherly Laboratories, University of Exeter, Exeter, United Kingdom; and Sorbonne Universités, UPMC University of Paris, INSERM, CNRS, Neurosciences Paris Seine-Institut de Biologie Paris Seine, Paris, France
| | - Jason C Wester
- Porter Neuroscience Center, Eunice Kennedy-Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland; Institute of Biomedical and Clinical Sciences, University of Exeter Medical School, Hatherly Laboratories, University of Exeter, Exeter, United Kingdom; and Sorbonne Universités, UPMC University of Paris, INSERM, CNRS, Neurosciences Paris Seine-Institut de Biologie Paris Seine, Paris, France
| | - Chris J McBain
- Porter Neuroscience Center, Eunice Kennedy-Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland; Institute of Biomedical and Clinical Sciences, University of Exeter Medical School, Hatherly Laboratories, University of Exeter, Exeter, United Kingdom; and Sorbonne Universités, UPMC University of Paris, INSERM, CNRS, Neurosciences Paris Seine-Institut de Biologie Paris Seine, Paris, France
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47
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Wise T, Radua J, Via E, Cardoner N, Abe O, Adams TM, Amico F, Cheng Y, Cole JH, de Azevedo Marques Périco C, Dickstein DP, Farrow TFD, Frodl T, Wagner G, Gotlib IH, Gruber O, Ham BJ, Job DE, Kempton MJ, Kim MJ, Koolschijn PCMP, Malhi GS, Mataix-Cols D, McIntosh AM, Nugent AC, O'Brien JT, Pezzoli S, Phillips ML, Sachdev PS, Salvadore G, Selvaraj S, Stanfield AC, Thomas AJ, van Tol MJ, van der Wee NJA, Veltman DJ, Young AH, Fu CH, Cleare AJ, Arnone D. Common and distinct patterns of grey-matter volume alteration in major depression and bipolar disorder: evidence from voxel-based meta-analysis. Mol Psychiatry 2017; 22:1455-1463. [PMID: 27217146 PMCID: PMC5622121 DOI: 10.1038/mp.2016.72] [Citation(s) in RCA: 371] [Impact Index Per Article: 53.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2015] [Revised: 03/01/2016] [Accepted: 03/23/2016] [Indexed: 12/11/2022]
Abstract
Finding robust brain substrates of mood disorders is an important target for research. The degree to which major depression (MDD) and bipolar disorder (BD) are associated with common and/or distinct patterns of volumetric changes is nevertheless unclear. Furthermore, the extant literature is heterogeneous with respect to the nature of these changes. We report a meta-analysis of voxel-based morphometry (VBM) studies in MDD and BD. We identified studies published up to January 2015 that compared grey matter in MDD (50 data sets including 4101 individuals) and BD (36 data sets including 2407 individuals) using whole-brain VBM. We used statistical maps from the studies included where available and reported peak coordinates otherwise. Group comparisons and conjunction analyses identified regions in which the disorders showed common and distinct patterns of volumetric alteration. Both disorders were associated with lower grey-matter volume relative to healthy individuals in a number of areas. Conjunction analysis showed smaller volumes in both disorders in clusters in the dorsomedial and ventromedial prefrontal cortex, including the anterior cingulate cortex and bilateral insula. Group comparisons indicated that findings of smaller grey-matter volumes relative to controls in the right dorsolateral prefrontal cortex and left hippocampus, along with cerebellar, temporal and parietal regions were more substantial in major depression. These results suggest that MDD and BD are characterised by both common and distinct patterns of grey-matter volume changes. This combination of differences and similarities has the potential to inform the development of diagnostic biomarkers for these conditions.
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Affiliation(s)
- T Wise
- Department of Psychological Medicine, Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - J Radua
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- Research Unit, FIDMAG Germanes Hospitalàries – CIBERSAM, Sant Boi de Llobregat, Barcelona, Spain
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - E Via
- Mental Health, Parc Taulí Sabadell-CIBERSAM, University Hospital, Sabadell, Barcelona, Spain
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain
| | - N Cardoner
- Mental Health, Parc Taulí Sabadell-CIBERSAM, University Hospital, Sabadell, Barcelona, Spain
| | - O Abe
- Department of Radiology, Nihon University School of Medicine, Tokyo, Japan
| | - T M Adams
- Department of Psychological Medicine, Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - F Amico
- Department of Psychiatry, Trinity College Institute of Neuroscience, Trinity College, Dublin, Ireland
| | - Y Cheng
- Department of Psychiatry, The 1st Affiliated Hospital of Kunming Medical University, Kunming, PR China
| | - J H Cole
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Department of Medicine, Imperial College London, London, UK
| | - C de Azevedo Marques Périco
- Department of Neuroscience, Medical School, Fundação do ABC, Santo André, SP, Brazil
- ABC Center of Studies on Mental Health, Santo André, SP, Brazil
| | - D P Dickstein
- PediMIND Program, Bradley Hospital, Department of Psychiatry, Brown University, East Providence, RI, USA
| | - T F D Farrow
- Academic Clinical Neurology, Department of Neuroscience, University of Sheffield, Sheffield, UK
| | - T Frodl
- Department of Psychiatry and Psychotherapy, Otto-von-Guericke University, Magdeburg, Germany
- Department of Psychiatry, University of Dublin, Trinity College, Dublin, Ireland
| | - G Wagner
- Psychiatric Brain and Body Research Group Jena, Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - I H Gotlib
- Department of Psychology, Stanford University, Stanford, CA, USA
| | - O Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany
| | - B J Ham
- Department of Psychiatry, Korea University College of Medicine, Seoul, South Korea
| | - D E Job
- Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK
- Scottish Imaging Network–A Platform for Scientific Excellence (SINAPSE), Giffnock, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - M J Kempton
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - M J Kim
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA
| | - P C M P Koolschijn
- Department of Psychology, Dutch Autism and ADHD Research Center, Brain and Cognition, University of Amsterdam, Amsterdam, The Netherlands
| | - G S Malhi
- CADE Clinic, Discipline of Psychiatry, Sydney Medical School, University of Sydney, Sydney, NSW, Australia
| | - D Mataix-Cols
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - A M McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - A C Nugent
- Experimental Therapeutics and Pathophysiology Branch, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
| | - J T O'Brien
- Institute for Ageing and Health, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, UK
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - S Pezzoli
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- Department of Neuroscience, Medical School, University of Sheffield, Sheffield, UK
| | - M L Phillips
- Department of Psychiatry, University of Pittsburgh, School of Medicine, Pittsburgh, PA
| | - P S Sachdev
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Randwick, NSW, Australia
- Neuropsychiatric Institute, Prince of Wales Hospital, Randwick, NSW, Australia
| | - G Salvadore
- Janssen Research and Development, Titusville, NJ, USA
| | - S Selvaraj
- Department of Psychiatry and Behavioral Sciences, Center of Excellence on Mood Disorders, Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - A C Stanfield
- The Patrick Wild Centre, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, UK
| | - A J Thomas
- Institute for Ageing and Health, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, UK
| | - M J van Tol
- NeuroImaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - N J A van der Wee
- Department of Psychiatry, Leiden University Medical Center, Leiden University, Leiden, The Netherlands
- Leiden Institute for Brain and Cognition, Leiden, The Netherlands
| | - D J Veltman
- Department of Psychiatry, VU University Medical Center, Amsterdam, The Netherlands
| | - A H Young
- Department of Psychological Medicine, Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - C H Fu
- Department of Psychological Medicine, Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- School of Psychology, University of East London, London, UK
| | - A J Cleare
- Department of Psychological Medicine, Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - D Arnone
- Department of Psychological Medicine, Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
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48
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Cao B, Passos IC, Mwangi B, Amaral-Silva H, Tannous J, Wu MJ, Zunta-Soares GB, Soares JC. Hippocampal subfield volumes in mood disorders. Mol Psychiatry 2017; 22:1352-1358. [PMID: 28115740 PMCID: PMC5524625 DOI: 10.1038/mp.2016.262] [Citation(s) in RCA: 122] [Impact Index Per Article: 17.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2016] [Revised: 12/08/2016] [Accepted: 12/19/2016] [Indexed: 01/01/2023]
Abstract
Volume reduction and shape abnormality of the hippocampus have been associated with mood disorders. However, the hippocampus is not a uniform structure and consists of several subfields, such as the cornu ammonis (CA) subfields CA1-4, the dentate gyrus (DG) including a granule cell layer (GCL) and a molecular layer (ML) that continuously crosses adjacent subiculum (Sub) and CA fields. It is known that cellular and molecular mechanisms associated with mood disorders may be localized to specific hippocampal subfields. Thus, it is necessary to investigate the link between the in vivo hippocampal subfield volumes and specific mood disorders, such as bipolar disorder (BD) and major depressive disorder (MDD). In the present study, we used a state-of-the-art hippocampal segmentation approach, and we found that patients with BD had reduced volumes of hippocampal subfields, specifically in the left CA4, GCL, ML and both sides of the hippocampal tail, compared with healthy subjects and patients with MDD. The volume reduction was especially severe in patients with bipolar I disorder (BD-I). We also demonstrated that hippocampal subfield volume reduction was associated with the progression of the illness. For patients with BD-I, the volumes of the right CA1, ML and Sub decreased as the illness duration increased, and the volumes of both sides of the CA2/3, CA4 and hippocampal tail had negative correlations with the number of manic episodes. These results indicated that among the mood disorders the hippocampal subfields were more affected in BD-I compared with BD-II and MDD, and manic episodes had focused progressive effect on the CA2/3 and CA4 and hippocampal tail.
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Affiliation(s)
- Bo Cao
- Department of Psychiatry and Behavioral Sciences, The University of Texas Science Center at Houston, Houston, Texas, USA
| | - Ives Cavalcante Passos
- Graduation Program in Psychiatry and Laboratory of Molecular Psychiatry, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Benson Mwangi
- Department of Psychiatry and Behavioral Sciences, The University of Texas Science Center at Houston, Houston, Texas, USA
| | - Henrique Amaral-Silva
- Department of Psychiatry and Behavioral Sciences, The University of Texas Science Center at Houston, Houston, Texas, USA
| | - Jonika Tannous
- Department of Psychiatry and Behavioral Sciences, The University of Texas Science Center at Houston, Houston, Texas, USA
| | - Mon-Ju Wu
- Department of Psychiatry and Behavioral Sciences, The University of Texas Science Center at Houston, Houston, Texas, USA
| | - Giovana B. Zunta-Soares
- Department of Psychiatry and Behavioral Sciences, The University of Texas Science Center at Houston, Houston, Texas, USA
| | - Jair C. Soares
- Department of Psychiatry and Behavioral Sciences, The University of Texas Science Center at Houston, Houston, Texas, USA
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49
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Phillips C. Physical Activity Modulates Common Neuroplasticity Substrates in Major Depressive and Bipolar Disorder. Neural Plast 2017; 2017:7014146. [PMID: 28529805 PMCID: PMC5424494 DOI: 10.1155/2017/7014146] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Revised: 02/10/2017] [Accepted: 03/16/2017] [Indexed: 12/13/2022] Open
Abstract
Mood disorders (MDs) are chronic, recurrent mental diseases that affect millions of individuals worldwide. Although the biogenic amine model has provided some clinical utility, a need remains to better understand the interrelated mechanisms that contribute to neuroplasticity deficits in MDs and the means by which various therapeutics mitigate them. Of those therapeutics being investigated, physical activity (PA) has shown clear and consistent promise. Accordingly, the aims of this review are to (1) explicate key modulators, processes, and interactions that impinge upon multiple susceptibility points to effectuate neuroplasticity deficits in MDs; (2) explore the putative mechanisms by which PA mitigates these features; (3) review protocols used to induce the positive effects of PA in MDs; and (4) highlight implications for clinicians and researchers.
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50
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Lei P, Ayton S, Appukuttan AT, Moon S, Duce JA, Volitakis I, Cherny R, Wood SJ, Greenough M, Berger G, Pantelis C, McGorry P, Yung A, Finkelstein DI, Bush AI. Lithium suppression of tau induces brain iron accumulation and neurodegeneration. Mol Psychiatry 2017; 22:396-406. [PMID: 27400857 DOI: 10.1038/mp.2016.96] [Citation(s) in RCA: 58] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2016] [Revised: 04/25/2016] [Accepted: 05/09/2016] [Indexed: 02/05/2023]
Abstract
Lithium is a first-line therapy for bipolar affective disorder. However, various adverse effects, including a Parkinson-like hand tremor, often limit its use. The understanding of the neurobiological basis of these side effects is still very limited. Nigral iron elevation is also a feature of Parkinsonian degeneration that may be related to soluble tau reduction. We found that magnetic resonance imaging T2 relaxation time changes in subjects commenced on lithium therapy were consistent with iron elevation. In mice, lithium treatment lowers brain tau levels and increases nigral and cortical iron elevation that is closely associated with neurodegeneration, cognitive loss and parkinsonian features. In neuronal cultures lithium attenuates iron efflux by lowering tau protein that traffics amyloid precursor protein to facilitate iron efflux. Thus, tau- and amyloid protein precursor-knockout mice were protected against lithium-induced iron elevation and neurotoxicity. These findings challenge the appropriateness of lithium as a potential treatment for disorders where brain iron is elevated (for example, Alzheimer's disease), and may explain lithium-associated motor symptoms in susceptible patients.
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Affiliation(s)
- P Lei
- Department of Neurology, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, and Collaborative Innovation Center for Biotherapy, Sichuan, China.,Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - S Ayton
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - A T Appukuttan
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - S Moon
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - J A Duce
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC, Australia.,Faculty of Biological Sciences, School of Biomedical Sciences, University of Leeds, West Yorkshire, UK
| | - I Volitakis
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - R Cherny
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - S J Wood
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Parkville, VIC, Australia.,School of Psychology, University of Birmingham, Birmingham, UK
| | - M Greenough
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - G Berger
- ORYGEN Research Centre, University of Melbourne and Melbourne Health, Parkville, VIC, Australia.,Department of Child and Adolescent Psychiatry, University of Zürich, Zurich, Switzerland
| | - C Pantelis
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC, Australia.,Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Parkville, VIC, Australia.,Centre for Neural Engineering, Department of Electrical and Electronic Engineering, University of Melbourne, Parkville, VIC, Australia
| | - P McGorry
- ORYGEN Research Centre, University of Melbourne and Melbourne Health, Parkville, VIC, Australia
| | - A Yung
- Institute of Brain, Behaviour and Mental Health, University of Manchester and Greater Manchester West NHS Mental Health Trust, Manchester, UK
| | - D I Finkelstein
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - A I Bush
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC, Australia
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